SAS 9.1 Output Delivery System Users Guide

PROC TEMPLATE ;

The following table lists the statements that you use to add different features to your SAS tabular output.

Table 10.1: PROC TEMPLATE Statements

Task

Statement

Edit an existing definition for a table, column, header, or footer.

EDIT

Create a column definition.

DEFINE COLUMN

Create a footer definition.

DEFINE FOOTER

Create a header definition.

DEFINE HEADER

Create a table definition.

DEFINE TABLE

EDIT Statement

Edits an existing definition for a table, column, header, or footer

Requirement: An END statement must follow the EDIT statement, after all of the editing instructions.

Interaction: In some cases, you can use an EDIT statement inside a set of editing instructions.

Restriction: If you edit a definition that is a link, you break the link and create a separate definition.

Featured in: Example 1 on page 515

Required Arguments

definition-path-1

Options

AS definition-path-2

STORE= libref . template-store

Statements and Attributes

The EDIT statement supports the same statements and attributes as the DEFINE TABLE statements. For more information, see DEFINE TABLE Statement on page 410.

Editing an Existing Definition

There are two steps to follow when you edit an existing definition.

  1. Open a copy of the specified file.

    By default, PROC TEMPLATE looks for definition-path-1 in the list of template stores that is defined by the PATH statement (see PATH Statement on page 276). It opens a copy of the first definition path that it finds in a template store that has read access.

  2. Save the modified file.

    PROC TEMPLATE writes the modified definition to the first template store in the current path with update access. If you do not specify a second definition path to write to, then it uses definition-path-1 . Therefore, if you have update access to the template store from which you read definition-path-1 , then you actually modify the original definition. Otherwise , the modified file is written to a template store to which you do have update access.

    If you do specify a second definition path, then PROC TEMPLATE writes the edited definition to the specified path in the first template store to which you have write access.

DEFINE COLUMN Statement

Creates a definition for a column

Requirement: An END statement must be the last statement in the definition.

Interaction: A column definition can include one or more header definitions.

See also: DEFINE HEADER Statement on page 395

Featured in: Example 3 on page 528 and Example 5 on page 539

Table 10.2: DEFINE COLUMN Statements

Task

Statement

Set one or more column attributes.

column-attributes

Set the style element of the cells in the column according to the values of the variables .

CELLSTYLE-AS

Compute values for a column that is not in the data component, ormodify the values ofa columnthat isin the data component.

COMPUTE AS

Create a definition for a column header. DEFINE HEADER Define a symbol that references a value that the data component supplies from the procedure or DATA step.

DYNAMIC

Define a symbol that references a macro variable. ODS will use the variable as a string. References to the macro variable are resolved when ODS binds the definition and the data component to produce an output object.

MVAR

Define a symbol that references a macro variable. ODS will convert the variable s value to a number (stored as a double) before using it. References to the macro variable are resolved when ODS binds the definition and the data component to produce an output object.

NMVAR

Provide information about the column.

NOTES

Translate the specified values to other values.

TRANSLATE-INTO

End the definition.

END

Required Arguments

column-path

Options

STORE= libref . template-store

Column Attributes

This section lists all the attributes that you can use in a column definition. For all attributes that support a value of ON, the following forms are equivalent:

ATTRIBUTE-NAME ATTRIBUTE-NAME=ON

For all of the attributes that support a value of variable , variable can be any variable that you declare in the column definition with the DYNAMIC, MVAR, or NMVAR statement. If the attribute is a boolean, then the value of variable should resolve to either true or false as shown in the following table:

Table 10.3: Boolean Values

True

False

ON

OFF

_ON_

_OFF_

1

0

TRUE

FALSE

YES

NO

_YES_

_NO_

Table 10.4: Column Attributes

Task

Attribute

Valid Destinations

Influence the appearance of the cells contents

Specify whether or not to suppress the value of a variable from one row to the next , if the value does not change based on the formatted value of the variable.

BLANK_DUPS

All except OUTPUT

Specify whether or not to suppress the value of a variable from one row to the next, if the value does not change based on the raw value of the variable.

BLANK_INTERNAL_DUPS

All except OUTPUT

Select the best format for a column of a table.

CHOOSE_FORMAT=

All

Specify whether or not to wrap the text in the current column.

FLOW

LISTING

Specify the format for the column.

FORMAT=

All

Specify the number of decimals for the column if it isn t specified with FORMAT= column attribute.

FORMAT_NDEC=

All

Specify the format width for the column if it isn t specified with FORMAT= column attribute.

FORMAT_WIDTH=

All

Supply a numeric value against which values in the column are compared to eliminate trivial values from printing.

FUZZ=

All except OUTPUT

Specify the horizontal justification of the format field within the column (and for the column header if the definition for the header does not include JUST=).

JUST=

All except OUTPUT

Specify whether to justify the format field within the column, or to justify the value within the column, without regard to the format field.

JUSTIFY

All destinations except

LISTING behave as if

JUSTIFY=ON.

When the text in the column uses more than one line, specify whether to try to divide the text equally among all lines or to maximize the amount of text in each line.

MAXIMIZE

LISTING

Specify whether ornot to draw a continuous line in the current column above the first table footer (or, if there is no table footer, below the last row of the column).

OVERLINE

LISTING

Specify whether or not to treat the text as preformatted text.

PREFORMATTED

HTML, MARKUP family,

PRINTER family, and RTF

Specify whether or not to print the column.

PRINT

All except OUTPUT

Specify a separator character to append to each value in the column.

SEPARATOR=

LISTING

Specify the style element and style attributes to use for the column.

STYLE=

HTML, MARKUP family,

PRINTER family, and RTF

Specify the split character for the data in the column.

TEXT_SPLIT=

All except OUTPUT

Specify whether or not to draw a continuous line in the current column below the column header (or, if there is no column header, above the first row of the column).

UNDERLINE=

LISTING

Specify the vertical justification for the column.

VJUST=

HTML, MARKUP family,

PRINTER family, and RTF

Specify the width of the column in characters .

WIDTH=

LISTING

Specify the maximum width for this column.

WIDTH_MAX=

LISTING

Customize column headers

Specify the text for the column header.

HEADER=

All

Specify whether or not to print the column header.

PRINT_HEADERS

All except OUTPUT

Influence the relationship to other columns

Specify whether or not the column definition is generic; that is, whether or not it can be used by more than one variable.

GENERIC=

All except OUTPUT

Specify whether or not the column is an ID column.

ID

LISTING and PRINTER family

Specify whether or not to merge the current column with the column immediately to its right.

MERGE

All except OUTPUT

Specify whether or not to merge the current column with the column immediately to its left.

PRE_MERGE

All except OUTPUT

Specify the number of blank characters to leave between the current column and the column immediately to its left.

PRE_SPACE=

LISTING

Specify the number of blank characters to leave between the current column and the column immediately to its right.

SPACE=

LISTING

Influence the presentation of data panels

Influence the place at which ODS splits a table when it creates multiple data panels.

GLUE=

LISTING, PRINTER family, and RTF

Specify whether or not to delete the current column from the output object if doing so enables all the remaining columns to fit in the space that is provided without splitting the table into multiple data panels.

OPTIONAL

LISTING

Other column attributes

Specify which format to use if both a column definition and a datacomponent specifyaformat.

DATA_FORMAT_OVERRIDE

All

Specify the name of the column in the data component to associate with the current column.

DATANAME=

All

Specify which special characters in headers for generic columns are to be used as split characters.

DEF_SPLIT

All

Specify whether or not to include the column in an output data set.

DROP

OUTPUT

Specify a label for the column.

LABEL=

OUTPUT

Specify the column definition that the current definition inherits from.

PARENT=

All

Specify the name to use for the corresponding variable in an output data set.

VARNAME=

OUTPUT

BLANK_DUPS<=ON | OFF | variable >

BLANK_INTERNAL_DUPS<=ON | OFF | variable >

CHOOSE_FORMAT= COMPROMISE | MAX | MAX_ABS | MIN_MAX

DATA_FORMAT_OVERRIDE<=ON | OFF | variable >

DATANAME= column-name

DEF_SPLIT

DROP<=ON | OFF | variable >

FLOW<=ON | OFF | variable >

FORMAT= format-name < format-width < decimal-width >> | variable

FORMAT_NDEC= number | variable

FORMAT_WIDTH= positive-integer | variable

FUZZ= number | variable

GENERIC<=ON | OFF | variable >

GLUE= integer | variable

HEADER= header-specification

ID<=ON | OFF | variable >

JUST= justification | variable

JUSTIFY<=ON | OFF | variable >

LABEL= text | variable

MAXIMIZE<=O N | OFF | variable >

MERGE<=ON | OFF | variable >

OPTIONAL<=ON | OFF | variable >

OVERLINE<=ON | OFF | variable >

PARENT= column-path

PREFORMATTED<=ON | OFF | variable >

PRE_MERGE<=ON | OFF | variable >

PRE_SPACE= non-negative-integer

PRINT<=ON | OFF | variable >

PRINT_HEADERS<=ON | OFF | variable >

SEPARATOR= character | variable

SPACE= positive-integer | variable

STYLE=< style-element-name ><[ style-attribute-specification(s) ]>

TEXT_SPLIT= character | variable

UNDERLINE<=ON | OFF | variable >

VARNAME= variable-name | variable

VJUST= justification | variable

WIDTH= positive-integer | variable

WIDTH_MAX= positive-integer | variable

CELLSTYLE-AS Statement

Sets the style element of the cells in the column according to the values of the variables. Use this statement to set the presentation characteristics (such as foreground color , font face, flyover) of individual cells

Featured in: Example 5 on page 539

CELLSTYLE expression-1 AS < style-element-name ><[ style-attribute-specification(s) ] >< , expression-n AS < style-element-name ><[ style-attribute-specification(s) ]>>;

Required Arguments

expression

Options

Note: Neither style-attribute-specification nor style-element-name is required. However, you must use at least one of them.

style-attribute-specification

style-element-name

COMPUTE AS Statement

Computes values for a column that is not in the data component, or modifies the values of a column that is in the data component

COMPUTE AS expression ;

Required Arguments

expression

DEFINE HEADER Statement

Creates a definition for a header inside a column definition

Main discussion: DEFINE HEADER Statement on page 395

DEFINE HEADER definition-name ;

Required Arguments

definition-name

statements-and-attributes

DYNAMIC Statement

Defines a symbol that references a value that the data component supplies from the procedure or DATA step

Scope: You can use the DYNAMIC statement in the definition of a table, column, header, or footer. A dynamic variable that is defined in a definition is available to that definition and to all the definitions that it contains.

Featured in: Example 1 on page 342 and Example 2 on page 348

DYNAMIC variable-1 < text-1 > < variable-n < text-n >>;

Required Arguments

variable

Options

text

MVAR Statement

Defines a symbol that references a macro variable. ODS will use the value of the variable as a string. References to the macro variable are resolved when ODS binds the definition and the data component to produce an output object

Scope: You can use the MVAR statement in the definition of a table, column, header, or footer. A macro variable that is defined in a definition is available to that definition and to all the definitions that it contains.

Featured in: Example 3 on page 528 and Example 1 on page 342

MVAR variable-1 < text-1 > < variable-n < text-n >>;

Required Arguments

variable

Options

text

NMVAR Statement

Defines a symbol that references a macro variable. ODS will convert the variable s value to a number (stored as a double) before using it. References to the macro variable are resolved when ODS binds the definition and the data component to produce an output object

Scope: You can use the NMVAR statement in the definition of a table, column, header, or footer. A macro variable that is defined in a definition is available to that definition and to all the definitions that it contains.

Featured in: Example 5 on page 539

NMVAR variable-1 < text-1 > < variable-n < text-n >>;

Required Arguments

variable

Options

text

NOTES Statement

Provides information about the column

Tip: The NOTES statement becomes part of the compiled column definition, which you can view with the SOURCE statement, whereas SAS comments do not.

NOTES text ;

Required Arguments

text

TRANSLATE-INTO Statement

Translates the specified values to other values

TRANSLATE expression-1 INTO expression-2 < , expression-n INTO expression-m >;

Required Arguments

expression-1

expression-2

END Statement

Ends the definition

END ;

DEFINE FOOTER Statement

Creates a definition for a table footer

Requirement: An END statement must be the last statement in the definition.

Featured in: Example 3 on page 528 and Example 1 on page 342

See: DEFINE HEADER Statement on page 395

The substatements in DEFINE FOOTER and the footer attributes are the same as the substatements in DEFINE HEADER and the header attributes. For details about substatements and footer attributes, see DEFINE HEADER Statement on page 395.

DEFINE HEADER Statement

Creates a definition for a table header

Requirement: An END statement must be the last statement in the definition.

Featured in: Example 3 on page 528

Table 10.5: DEFINE HEADER Statements

Task

Statement

Set one or more header attributes.

header-attribute(s)

Define a symbol that references a value that the data component supplies from the procedure or DATA step.

DYNAMIC

Define a symbol that references a macro variable. ODS will use the value of the variable as a string. References to the macro variable are resolved when ODS binds the definition and the data component to produce an output object.

MVAR

Define a symbol that references a macro variable. ODS will convert the variable s value to a number (stored as a double) before using it. References to the macro variable are resolved when ODS binds the definition and the data component to produce an output object.

NMVAR

Provide information about the table.

NOTES

Specify the text of the header.

TEXT

Specify an alternative header to use in the listing output if the header that is provided by the TEXT statement is too long.

TEXT2

Specify an alternative header to use in the Listing output if the header that is provided by the TEXT2 statement is too long.

TEXT3

End the header definition.

END

Required Arguments

header-path

Options

STORE= libref . template-store

Header Attributes

This section lists all the attributes that you can use in a header definition. A column header spans a single column. A spanning header spans multiple columns. These two kinds of headers are defined in the same way except that a spanning header uses the START= or the END= attribute, or both.

For all attributes that support a value of ON, the following forms are equivalent:

ATTRIBUTE-NAME ATTRIBUTE-NAME=ON

For all of the attributes that support a value of variable , variable can be any variable that you declare in the table definition with the DYNAMIC, MVAR, or NMVAR statement. If the attribute is a boolean, then the value of variable should resolve to either true or false as shown in the following table:

Table 10.6: Boolean Values

True

False

ON

OFF

_ON_

_OFF_

TRUE

FALSE

YES

NO

_YES_

_NO_

Table 10.7: Header Attributes

Task

Attribute

Valid Destinations

Influence the appearance of the contents of the header

Specifythatspecialcharactersin headers for generic columns are to be used as split characters.

DEF_SPLIT

All

Specify whether or not to try to expand the column width to accommodate the longest word in the column header.

FORCE

LISTING

Specify the horizontal justification for the column header.

JUST=

All except OUTPUT

Specify whether to try to divide the text equally among all lines or to maximize the amount of text in each line when the text in the header uses more than one line.

MAXIMIZE

LISTING

Specify whether or not to draw a continuous line above the header.

OVERLINE

LISTING

Specify whether or not to treat the text as preformatted text.

PREFORMATTED

HTML, MARKUP family, PRINTER family, and RTF

Specify whether or not to print the header.

PRINT

All

Specify the number of blank lines to place between the current header and the next header or between the current footer and the previous footer.

SPACE=

LISTING

Specify the split character for the header.

SPLIT=

All except OUTPUT

Specify the style element and any changes to its attributes to use for the header.

STYLE=

HTML, PRINTER family, and RTF

Specify whether or not to start a new header line in the middle of a word.

TRUNCATE

LISTING

Specify whether or not to draw a continuous line underneath the header.

UNDERLINE

LISTING

Specify vertical justification for the header.

VJUST=

HTML, MARKUP family, PRINTER, family, and RTF

Specify the width of the header in characters.

WIDTH=

LISTING

Influence the content of the header

Specify a character to use to expand the header to fill the space over the column or columns that the header spans.

EXPAND=

LISTING

Specify whether or not to repeat the text of the header until the space that is allotted for the header is filled.

REPEAT

LISTING

Influence the placementof theheader

Specify the last column that a spanning header covers.

END=

All except OUTPUT

Specify the first column that a spanning header covers.

START=

All except OUTPUT

Specify whether or not to expand the header to reach the sides of the page.

EXPAND_PAGE

LISTING

Specify whether or not a spanning header appears only on the first data panel if the table is too wide to fit in the space that is provided.

FIRST_PANEL

LISTING, PRINTER family, and RTF

Specify whether or not a table footer appears only on the last data panel if the table is too wide to fit in the space that is provided.

LAST_PANEL

LISTING, PRINTER family, and RTF

Specify whether or not to extend the text of the header into the header space of adjacent columns.

SPILL_ADJ

LISTING

Specify whether or not to extend the text of the header into the adjacent margin.

SPILL_MARGIN

LISTING

Other header attributes

Specify an abbreviation for the header. [*]

ABBR=

MARKUP

Specify an acronym for the header. [*]

ACRONYM=

MARKUP

Specify an alternate description for the header. [*]

ALT=

MARKUP

Specify whether or not multiple columns can use the header.

GENERIC

All except OUTPUT

Specify a long description for the header. [*]

LONGDESC=

MARKUP

Specify the header definition that the current definition inherits from.

PARENT=

All

[*] SAS includes these accessibility and compatibility features that improve the usability of SAS for users with disabilities . These features are related to accessibility standards for electronic information technology adopted by the U.S. Government under Section 508 of the U.S. Rehabilitation Act of 1973, as amended.

ABBR= text

ACRONYM= text

ALT= text

DEF_SPLIT

END= column-name | variable

EXPAND= string | variable

EXPAND_PAGE<= ON | OFF | variable >

FIRST_PANEL<= ON | OFF | variable >

FORCE<= ON | OFF | variable >

GENERIC<= ON | OFF | variable >

JUST= justification | variable

LAST_PANEL<= ON | OFF | variable >

LONGDESC= string

MAXIMIZE<=ON | OFF | variable >

OVERLINE<=ON | OFF | variable >

PARENT= header-path

PREFORMATTED<=ON | OFF | variable >

PRINT<=ON | OFF | variable >

REPEAT<=ON | OFF | variable >

SPACE= positive-integer | variable

SPILL_ADJ<=ON | OFF | variable >

SPILL_MARGIN<=ON | OFF | variable >

SPLIT= character | variable

START= column-name | variable

STYLE=< style-element-name ><[ style-attribute-specification(s) ]>

TRUNCATE<=ON | OFF | variable >

UNDERLINE<=ON | OFF | variable >

VJUST= justification | variable

WIDTH= positive-integer | variable

DYNAMIC Statement

Defines a symbol that references a value that the data component supplies from the procedure or DATA step

Scope: You can use the DYNAMIC statement in the definition of a table, column, header, or footer. A dynamic variable that is defined in a definition is available to that definition and to all the definitions that it contains.

Featured in: Example 1 on page 342 and Example 2 on page 348

DYNAMIC variable-1 < text-1 > < variable-n < text-n >>;

Required Arguments

variable

Options

text

MVAR Statement

Defines a symbol that references a macro variable. ODS will use the value of the variable as a string. References to the macro variable are resolved when ODS binds the definition and the data component to produce an output object

Scope: You can use the MVAR statement in the definition of a table, column, header, or footer. A macro variable that is defined in a definition is available to that definition and to all the definitions that it contains.

Featured in: Example 3 on page 528 and Example 1 on page 342

MVAR variable-1 < text-1 > < variable-n < text-n >>;

Required Arguments

variable

Options

text

NMVAR Statement

Defines a symbol that references a macro variable. ODS will convert the variable s value to a number (stored as a double) before using it. References to the macro variable are resolved when ODS binds the definition and the data component to produce an output object

Scope: You can use the NMVAR statement in the definition of a table, column, header, or footer. A macro variable that is defined in a definition is available to that definition and to all the definitions that it contains.

Featured in: Example 5 on page 539

NMVAR variable-1 < text-1 > < variable-n < text-n >>;

Required Arguments

variable

Options

text

NOTES Statement

Provides information about the header

Tip: The NOTES statement becomes part of the compiled header definition, which you can view with the SOURCE statement, whereas SAS comments do not.

NOTES text ;

Required Arguments

text

TEXT Statement

Specifies the text of the header or the label of a variable in an output data set

Featured in: Example 3 on page 528

TEXT header-specification(s) ;

Required Arguments

header-specification(s)

TEXT2 Statement

Provides an alternative header to use in the Listing output if the header that is provided by the TEXT statement is too long

See: TEXT Statement on page 409

TEXT3 Statement

Provides an alternative header to use in the Listing output if the header that is provided by the TEXT2 statement is too long

See: TEXT Statement on page 409

DEFINE TABLE Statement

Creates a table definition

Requirement: An END statement must be the last statement in the definition.

Interaction: A table definition can contain one or more column, header, or footer definitions.

Featured in: Example 3 on page 528 and Example 5 on page 539

Table 10.8: DEFINE TABLE Statements

Task

Statement

Set one or more table attributes.

table-attribute(s)

Set the style element of the cells in the table that contain numeric variables according to the values of the variables.

CELLSTYLE-AS

Declare a symbol as a column in the table and specify the order of the columns.

COLUMN

Create a definition for a column, header, or footer.

DEFINE

Define a symbol that references a value that the data component supplies from the procedure or DATA step.

DYNAMIC

Declare a symbol as a footer in the table and specify the order of the footers.

FOOTER

Declare a symbol as a header in the table and specify the order of the headers.

HEADER

Define a symbol that references a macro variable. ODS will use the value of the variable as a string. References to the macro variable are resolved when ODS binds the definition and the data component to produce an output object.

MVAR

Define a symbol that references a macro variable. ODS will convert the value of the variable to a number (stored as a double) before use. References to the macro variable are resolved when ODS binds the definition and the data component to produce an output object.

NMVAR

Provide information about the table.

NOTES

Translatethe specifiednumericvaluestoother values.

TRANSLATE-INTO

End a definition, or end the editing of a definition.

END

Required Arguments

table-path

Options

STORE= libref . template-store

Table Attributes

This section lists all the attributes that you can use in a table definition. For all attributes that support a value of ON, the following forms are equivalent:

ATTRIBUTE-NAME ATTRIBUTE-NAME=ON

For all of the attributes that support a value of variable , variable can be any variable that you declare in the table definition with the DYNAMIC, MVAR, or NMVAR statement. If the attribute is a boolean, then the value of variable should resolve to either true or false as shown in the following table:

Table 10.9: Boolean Values

True

False

ON

OFF

_ON_

_OFF_

1

0

TRUE

FALSE

YES

NO

_YES_

_NO_

Table 10.10: Table Attributes

Task

Attribute

Valid Destinations

Influence the layout of the table.

Specify whether or not to try to place the same number of columns in each data panel if the entire table does not fit in one data panel.

BALANCE

LISTING, PRINTER family, and RTF

Specify whether or not to center each data panel independently if the entire table does not fit in one data panel.

CENTER

LISTING, PRINTER family, RTF

Specify whether or not to force a new page before printing the table.

NEWPAGE

All except OUTPUT

Specify the number of sets of columns to place on a page.

PANELS=

LISTING and PRINTER family

Specify the number of blank characters to place between sets of columns when PANELS= is in effect.

PANEL_SPACE=

LISTING

Specify the number of lines that must be available on the page in order to print the body of the table.

REQUIRED_SPACE=

LISTING and PRINTER family

Specify the number of lines to place between the previous output object and the current one.

TOP_SPACE=

LISTING and PRINTER family

Specify whether or not to split a table that is too wide to fit in the space that is provided or to wrap each row of the table.

WRAP

LISTING and PRINTER family

Specify whether or not to add a double space after the last line of a single row when the row is wrapped.

WRAP_SPACE

LISTING and PRINTER family

Influence the layout of rows and columns.

Specify the maximum number of blank characters to place between columns.

COL_SPACE_MAX=

LISTING

Specify the minimum number of blank characters to place between columns.

COL_SPACE_MIN=

LISTING

Specify the name of the column whose value provides formatting information about the space before each row of the definition.

CONTROL=

All except OUTPUT

Specify whether or not to double space between the rows of the table.

DOUBLE_SPACE

LISTING

Specify whether or not extra space is evenly divided among all columns of the table.

EVEN

LISTING

Specify whether or not to split a long stacked column across page boundaries.

SPLIT_STACK

LISTING

Influence the display of the values in header cells and data cells.

Specify whether or not to suppress blanking the value in a column that is marked with the BLANK_DUPS column attribute if the value changes in a previous column that is also marked with the BLANK_DUPS attribute.

CLASSLEVELS=

LISTING and PRINTER family

Task Attribute Valid Destinations Specify which format to use if both a column definition and a data componentspecifyaformat.

DATA_FORMAT_OVERRIDE

All

Specify whether to justify the format fields within the columns or to justify the values within the columns without regard to the format fields.

JUSTIFY

LISTING

Specify whether or not to order the columns by their order in the data component.

ORDER_DATA

All except OUTPUT

Specify the source of the values for the format width and the decimal width if they are not specified.

USE_FORMAT_DEFAULTS

All

Use the column name as the column header if neither the column definition nor the data component specifies a header.

USE_NAME

All

Influence the layout of headers and footers.

Specify the number of blank lines to place between the last row of data and the first row of output.

FOOTER_SPACE=

LISTING

Specify the number of blank lines to place between the last row of headers and the first row of data.

HEADER_SPACE=

LISTING

Specify whether or not to draw a continuous line above the first table footer or, if there is no table footer, below the last row of data on a page.

OVERLINE

LISTING

Specify whether or not to print table footers and any overlining of the table footers.

PRINT_FOOTERS

All except OUTPUT

Specify whether or not to print table headers and any underlining of the table headers.

PRINT_HEADERS

All except OUTPUT

Specify whether or not to draw a continuous line under the last table header or, if there is no table header, then above the last row of data on a page.

UNDERLINE

LISTING

Influence the HTML output.

Specify whether or not to place the output object in a table of contents, if you create a table of contents.

CONTENTS

HTML, PDF, and PRINTER/ PS PDFMARK

Specify the label to use for the outputobject in the contents file, the Results window, and the trace record.

CONTENTS_LABEL=

HTML, PDF, PRINTER, PS PDFMARK

Other table attributes.

Specify an alternate description for the table. [*]

ALT=

MARKUP

Specify whether or not to print the current byline before the table.

BYLINE=

All except OUTPUT

Define the characters to use as the line-drawing characters in the table.

FORMCHAR=

LISTING

Specify a label for the table.

LABEL=

All

Specify a long description for the table. [*]

LONGDESC=

MARKUP

Specify the table that the current definition inherits from.

PARENT=

All

Specify the style element to use for the table and any changes to the attributes.

STYLE=

HTML, MARKUP family, PRINTER family, and RTF

Specify the special data set type of a SAS data set.

TYPE=

OUTPUT

[*] SAS includes these accessibility and compatibility features that improve the usability of SAS for users with disabilities. These features are related to accessibility standards for electronic information technology adopted by the U.S. Government under Section 508 of the U.S. Rehabilitation Act of 1973, as amended.

ALT= text

BALANCE <=ON | OFF | variable >

BYLINE <=ON | OFF | variable >

CENTER <=ON | OFF | variable >

CLASSLEVELS <=ON | OFF | variable >

COL_SPACE_MAX= positive-integer | variable

COL_SPACE_MIN= positive-integer | variable

CONTENTS <=ON | OFF | variable >

CONTENTS_LABEL= string | variable

CONTROL= column-name | variable

DATA_FORMAT_OVERRIDE<=ON | OFF | variable >

DOUBLE_SPACE<=ON | OFF | variable >

EVEN<=ON | OFF | variable >

FOOTER_SPACE=0 | 1 | 2 | variable

FORMCHAR= string | variable

HEADER_SPACE=0 | 1 | 2 | variable

JUSTIFY<=ON | OFF | variable >

LABEL= text | variable

LONGDESC= string

NEWPAGE<=ON | OFF | variable >

ORDER_DATA<=ON | OFF | variable >

OVERLINE<=ON | OFF | variable >

PANELS= positive-integer | variable

PANEL_SPACE= positive-integer | variable

PARENT= table-path

PRINT_FOOTERS<=ON | OFF | variable >

PRINT_HEADERS<=ON | OFF | variable >

REQUIRED_SPACE= positive-integer | variable

SPLIT_STACK<=ON | OFF | variable >

STYLE=< style-element-name ><[ style-attribute-specification(s) ]>

TOP_SPACE= positive-integer | variable

TYPE= string | variable

UNDERLINE<=ON | OFF | variable >

USE_FORMAT_DEFAULTS<=ON | OFF | variable >

USE_NAME<=ON | OFF | variable >

WRAP<=ON | OFF | variable >

WRAP_SPACE<=ON | OFF | variable >

CELLSTYLE “AS Statement

Sets the style element of the cells in the table according to the values of the variables. Use this statement to set the presentation characteristics (such as foreground color, font face, flyover) of individual cells

Featured in: Example 5 on page 539

Required Arguments

expression

style-attribute-specification

Options

style-element-name

COLUMN Statement

Declares a symbol as a column in the table and specifies the order of the columns

Featured in: Example 3 on page 528

COLUMN column(s) ;

Required Arguments

column

DEFINE Statement

Creates a definition inside a table definition

Main discussion: DEFINE COLUMN Statement on page 374, DEFINE FOOTER Statement on page 395, and DEFINE HEADER Statement on page 395

DEFINE definition-type definition-name </ option(s) >; statements-and-attributes

Required Arguments

definition-type

definition-name

Options

NOLIST

DYNAMIC Statement

Defines a symbol that references a value that the data component supplies from the procedure or DATA step

Scope: You can use the DYNAMIC statement in the definition of a table, column, header, or footer. A dynamic variable that is defined in a definition is available to that definition and to all the definitions that it contains.

Featured in: Example 1 on page 342 and Example 2 on page 348

DYNAMIC variable-1 < text-1 > < variable-n < text-n >>;

Required Arguments

variable

Options

text

FOOTER Statement

Declares a symbol as a footer in the table and specifies the order of the footers

FOOTER footer-specification(s) ;

Required Arguments

footer-specification

HEADER Statement

Declares a symbol as a header in the table and specifies the order of the headers

HEADER header-specification(s) ;

Required Arguments

header-specification

MVAR Statement

Defines a symbol that references a macro variable. ODS will use the value of the variable as a string. References to the macro variable are resolved when ODS binds the definition and the data component to produce an output object

Scope: You can use the MVAR statement in the definition of a table, column, header, or footer. A macro variable that is defined in a definition is available to that definition and to all the definitions that it contains.

Featured in: Example 3 on page 528 and Example 1 on page 342

MVAR variable-1 < text-1 > < variable-n < text-n >>;

Required Arguments

variable

Options

text

NMVAR Statement

Defines a symbol that references a macro variable. ODS will convert the variable s value to a number (stored as a double) before using it. References to the macro variable are resolved when ODS binds the definition and the data component to produce an output object

Scope: You can use the NMVAR statement in the definition of a table, column, header, or footer. A macro variable that is defined in a definition is available to that definition and to all the definitions that it contains.

Featured in: Example 5 on page 539

NMVAR variable-1 < text-1 > < variable-n < text-n >>;

Required Arguments

variable

Options

text

NOTES Statement

Provides information about the table

Tip: The NOTES statement becomes part of the compiled column definition, which you can view with the SOURCE statement, whereas SAS comments do not.

Featured in: Example 5 on page 539

NOTES text ;

Required Arguments

text

TRANSLATE-INTO Statement

Translates the specified numeric values to other values

Restriction: The TRANSLATE-INTO statement in a table definition applies only to numeric variables. To translate the values of a character variable, use TRANSLATE-INTO in the definition of that column. (See DEFINE COLUMN Statement on page 374).

Featured in: Example 5 on page 539

TRANSLATE expression-1 INTO expression-2 < , expression-n INTO expression-m >;

Required Arguments

expression-1

expression-2

END Statement

Ends the table definition

END ;

ODS Output Object Table Names

ODS Table Names and the Base SAS Procedures that Produce Them

The following table lists the output object table names which Base SAS procedures produce. The table provides the name of each table, a description of what the table contains, and the option, if any, that creates the output object table. For more information about Base SAS procedures, see Base SAS Procedures Guide .

Table 10.11: ODS Table Names Produced by the CALENDAR Procedure

Table Name

Description

Calendar

Calendar

Table 10.12: ODS Table Names Produced by the CATALOG Procedure

Table Name

Description

Catalog_Random

Table generated when the catalog is in a random-access data library

Catalog_Sequential

Table generated when the catalog is in a sequential-access data library

Table 10.13: ODS Table Names Produced by the CHART Procedure

Table Name

Description

Block

Block chart

Hbar

Horizontal bar chart

Pie

Pie chart

Star

Star chart

Vbar

Vertical bar chart

Table 10.14: ODS Table Names Produced by the COMPARE Procedure

Table Name

Description

Option

CompareDatasets

Information about the data set or data sets

Omit NOSUMMARY or NOVALUE options

CompareDetails (Comparison results for observations)

List of observations that the base data set and the compare data setdonot haveincommon

PRINTALL

CompareDifferences

Report of variable value differences

Omit NOVALUES option

CompareSummary

Summary report of observations, values, and variables of unequal values

 

CompareVariables

List of differences in variable types or attributes between the base data set and the compare data set

Omit NOSUMMARY option or unless the variables are identical

ODS Tables Created by the ID Statement

CompareDetails

List of notes and warnings concerning duplicate ID variable values, if duplicate ID variable values exist in either the data set

 
Table 10.15: ODS Table Names Produced by the CORR Procedure

Table Name

Description

Option

Cov

Covariance table

row/column variance

DF (missing values)

COV

CronbachAlpha

Coefficient alpha

ALPHA

CronbachAlphaDel

Coefficient alpha with deleted variables

ALPHA

Csscp

Corrected sums of squares and crossproducts

Row/column variable corrected sums of squares (missing values)

CSSCP

HoeffdingCorr

Hoeffding s D statistics p-value (NOPROB is not specified)

Number of observations (missing values)

HOEFFDING

KendallCorr

Kendall tau-b coefficients p-value (NOPROB is not specified)

Number of observations (missing values)

Pearson or omit NOCORR option

SimpleStats

Simple descriptive statistics

Omit NOSIMPLE option

SpearmanCorr

Spearman descriptive statistics

SPEARMAN

Sscp

Sums of squares and crossproducts

Row/column variable sums of squares (missing values)

SSCP

VarInformation

Variable information

 

ODS Tables Created by the PARTIAL Statement

PartialCsscp

Partial corrected sums of squares and crossproducts

CSSCP

PartialCov

Partial covariances

COV

PartialKendallCorr

Partial Kendall tau-b coefficients

KENDALL

PartialPearsonCorr

Partial Kendall tau-b coefficients

p-values (NOPROB option is not specified)

 

PartialSpearmanCorr

Partial Spearman correlations

p-values (NOPROB option is not specified)

SPEARMAN

Table 10.16: ODS Table Names Produced by the DATASETS and CONTENTS Procedures

Table Name

Description

Option

Directory

General library information

Omit NOLIST option

Members

Library member information

Omit NOLIST option

Table 10.17: ODS Table Names Produced by the CONTENTS Procedure or the DATASETS Procedure with the CONTENTS Statement

Table Name

Description

Option

Attributes

Data set attributes

Omit SHORT option

Directory

General library information

DATA=< libref .>_ALL_ or the DIRECTORY option [*]

EngineHost

Engine and operating environment information

Omit SHORT option

IntegrityConstraints

List of integrity constraints

Omit SHORT option and data has integrity constraints

IntegrityConstraintsShort

Concise listing of integrity constraints

SHORT option specified and data has integrity constraints

Indexes

List of indexes

Omit SHORT option and data set is indexed

IndexesShort

Concise list of indexes

SHORT option specified and data set is indexed

Members

Library member information

DATA=< libref .>_ALL_ or the

DIRECTORY option [*]

Position

List of variables by logical position in the data set

Omit SHORT option and specify the VARNUM option

PositionShort

Concise list of variables by logical position in the data set

SHORT and VARNUM options

Sortedby

Sort information

Omit SHORT option and data set is sorted

SortedbyShort

Concise sort information

SHORT option and data set is sorted

Variables

List of variables in alphabetical order

Omit SHORT option

VariablesShort

Concise listing of variables in alphabetical order

SHORT

[*] For PROC DATASETS, if both the NOLIST option and either the DIRECTORY option or DATA= <libref.> _ALL_ are specified, then the NOLIST option is ignored.

Table 10.18: ODS Table Names Produced by the FREQ Procedure

Table Name

Description

Option

BinomialProp

Binomial proportion

BINOMIAL (one-way tables)

BinomialPropTest

Binomial proportion test

BINOMIAL (one-way tables)

BreslowDayTest

Breslow-day test

CMH (hx2x2 tables)

CMH

Cochran-Mantel-Haenszel statistics

CMH

ChiSq

Chi-Square tests and measures

CHISQ

CochransQ

Cochran s Q

AGREE (hx2x2 tables)

ColScores

Column scores

SCOROUT

CommonRelRisks

Common relative risks

CMH (hx2x2 tables)

Crosslist

Cross lists

 

CrossTabFreqs

Crosstabulation table

(n-way table request, n>1)

EqualKappaTest

Test for equal simple kappas

AGREE (hx2x2 tables)

EqualKappaTests

Test for equal kappas

AGREE (hxrxr tables, r>2)

FishersExact

Fisher s exact test

FISHER or EXACT CHISQ (2x2 tables)

JTTest

Jonckheere-Terpstra test

JT

KappaStatistics

Kappa statistics

AGREE (rxr tables, r>2, and no TEST or EXACT requests for kappas)

KappaWeight

Kappa weights

AGREE and PRINTKWT

List

List frequencies

LIST

McNemarsTest

McNemar s test

AGREE (2x2 tables)

Measures

Measures of association

MEASURES

OneWayChiSq

One-way Chi-Square goodness-of-fitness test

CHISQ (one-way tables)

OneWayFreqs

One-way frequencies

(one-way table request)

OverallKappa

Overall simple kappa coefficient

AGREE (hx2x2 tables)

Overallkappas

Overall kappa coefficients

AGREE (hxrxr tables, r>2)

RelativeRisks

Relative risk estimates

RELRISK or MEASURES (2x2 tables)

RiskDiffCol1

Column 1 risk estimates

RISKDIFF (2x2 tables)

RiskDiffCol2

Column 2 risk estimates

RISKDIFF (2x2 tables)

RowScores

Row scores

SCOROUT

SimpleKappaTest

Simple kappa tests

AGREE (2x2 tables), AGREE (rxr tables, r>2)

SymmetryTest

Test of symmetry

AGREE

TrendTest

Cochran-Armitage test for trend

TREND

WeightKappa

Weighted kappa coefficient

AGREE (rxr tables, r>2)

Table 10.19: ODS Table Names Produced by the MEANS and SUMMARY Procedures

Table Name

Description

Summary

Summary of descriptive statistics for variables across all observations and within groups of observations

Table 10.20: ODS Table Names Produced by the PLOT Procedure

Table Name

Description

Option

Plot

Single plot graph

 

Overlaid

two or more plots on a single set of axes

OVERLAY

Table 10.21: ODS Table Names Produced by the REPORT Procedure

Table Name

Description

Report

Detail report, summary report, or combination of both detail and summary information report

Table 10.22: ODS Table Names Produced by the SQL Procedure

Table Name

Description

SQL_Results

SAS data file or a SAS data view

Table 10.23: ODS Table Names Produced by the TABULATE Procedure

Table Name

Description

Table

Descriptive statistics in tabular format that use some or all of the variables in a data set

Table 10.24: ODS Table Names Produced by the TIMEPLOT Procedure

Table Name

Description

Option

Plot

Single plot graph

Omit the OVERLAY option

OverlaidPlot

Two or more plots on a single set of axes

OVERLAY

Table 10.25: ODS Table Names Produced by the UNIVARIATE Procedure

Table Name

Description

Option

BasicIntervals

Confidence intervals for mean, standard deviation, variance

CIBASIC

BasicMeasures

Measures of location and variability

 

ExtremeObs

Extreme observations

 

ExtremeValues

Extreme values

NEXTRAVAL=

Frequencies

Frequencies

FREQ

LocationCounts

Counts used for sign test and signed rank test

LOCCOUNT

Missing Values

Missing values

 

Modes

Modes

MODES

Moments

Sample moments

 

Plots

Line printer plots

PLOTS

Quantiles

Quantiles

 

RobustScale

Robust measures of scale

ROBUSTSCALE

SSPlots

Line printer side-by-side box plot

PLOTS with BY statement

TestsForLocation

Tests for location

 

TestsForNormality

Tests for normality

NORMALTEST

TrimmedMeans

Trimmed means

TRIMMED=

WinsorizedMeans

Winsorized means

WINSORIZED=

ODS Table Names and the SAS/STAT Procedures that Produce Them

The following table lists the output object table names which SAS/STAT procedures produce. You must license SAS/STAT software in order to produce these output objects. The table provides the name of each table, a description of what the table contains, and the option, if any, that creates the output object table. For information about SAS/STAT procedures, see

Table 10.26: ODS Table Names Produced by the ACECLUS Procedure

Table Name

Description

Option

ODS Tables Created by the PROC Statement

ConvergenceStatus

Convergence status

DataOptionInfo

Data and option information

Eigenvalues

Eigenvalues of Inv(ACE)*(COV-ACE)

Eigenvectors

Eigenvectors (raw canonical coefficients)

InitWithin

Initial within-cluster covariances estimate

INITIAL=INPUT

IterHistory

Iteration history

SimpleStatistics

Simple statistics

StdCanCoef

Standardized canonical coefficients

Threshold

Threshold value

PROPORTION=

TotSampleCov

Total sample covariances

Within

Approximate covariance estimate within clusters

Table 10.27: ODS Table Names Produced by the ANOVA Procedure

Table Name

Description

Option

DependentInfo

Simultaneously analyzed dependent variables

default when there are multiple dependent variables with different patterns of missing values

FitStatistics

R-Square, C.V., root MSE, and dependent mean

ModelANOVA

ANOVA for model terms

NObs

Number of observations

OverallANOVA

Overall ANOVA

ODS Tables Created by the CLASS Statement

ClassLevels

Classification variable levels

ODS Tables Created by the MANOVA Statement

MANOVATransform

Multivariate transformation matrix

M=

MultStat

Multivariate tests

Tests

Summary ANOVA for specified MANOVA H= effects

H=SUMMARY

ODS Tables Created by the MANOVA or REPEATED Statements

CanAnalysis

Canonical analysis

CANONICAL

CanCoef

Canonical coefficients

CANONICAL

CanStructure

Canonical structure

CANONICAL

CharStruct

Characteristic roots and vectors

MANOVA (not CANONICAL); REPEATED PRINTRV

ErrorSSCP

Error SSCP matrix

PRINTE

HypothesisSSCP

Hypothesis SSCP matrix

PRINTE; MANOVA M=

PartialCorr

Partial correlation matrix

PRINTE; REPEATED (CONTRAST, HELMERT, MEAN, POLYNOMIAL, or PROFILE)

ODS Tables Created by the MEANS Statement

Bartlett

Bartlett s homogeneity of variance test

HOVTEST=BARTLETT

CLDiffs

Multiple comparisons of pairwise differences

CLDIFF or DUNNETT or (Unequal cells and not LINES)

CLDiffsInfo

Information for multiple comparisons of pairwise differences

CLDIFF or DUNNETT or (Unequal cells and not LINES)

CLMeans

Multiple comparisons of means with confidence/comparison

CLM with (BON, GABRIEL, SCHEFFE, SIDAL. SMM, T, or LSD)

CLMeansInfo

Information for multiple comparisons of means with confidence/comparison interval

CLM

HOVFTest

Homogeneity of variance ANOVA

HOVTEST

MCLines

Multiple comparisons LINES output

LINES, ((DUNCAN or WALLER or SNK or REGWQ) and not (CLDIFF or CLM)), or (equal cells and not CLDIFF)

MCLinesInfo

Information for multiple comparison LINES output

LINES, ((DUNCAN, WALLER, SNK, or REGWQ) and not (CLDIFF or CLM)), or (equal cells and not CLDIFF

MCLinesRange

Ranges for multiple range MC tests

LINES, ((DUNCAN, WALLER, SNK, or REGWQ) and not (CLDIFF or CLM)), or (equal cells and not CLDIFF)

Means

Group means

Welch

Welch s ANOVA

WELCH

ODS Tables Created by the REPEATED Statement

Epsilons

Greenhouse-Geisser and Huynh-Feldt epsilons

 

RepTransform

Repeated transformation matrix

CONTRAST, HELMERT, MEAN, POLYNOMIAL, or PROFILE

RepeatedLevelInfo

Correspondence between dependents and repeated measures levels

 

Sphericity

Sphericity tests

PRINTE

ODS Tables Created by the TEST Statement

AltErrTests

ANOVA tests with error other than MSE

E=

Table 10.28: ODS Table Names Produced by the CALIS Procedure

Table Name

Description

Option

ODS Tables Created by the COSAN, FACTOR, LINEQS, and RAM Models

AddParms

Additional parameters in the PARAMETERS statement

PINITIAL or default

AsymStdRes

Asymptotically standardized residual matrix

RESIDUAL= or PRINT

AveAsymStdRes

Average absolute asymptotically standardized residuals

RESIDUAL= or PRINT

AveNormRes

Average absolute normalized residuals

RESIDUAL= or PRINT

AveRawRes

Average absolute raw residuals

RESIDUAL= or PRINT

AveVarStdRes

Average absolute variance standardized residuals

RESIDUAL= or PRINT

ContKurtosis

Contributions to kurtosis

KURTOSIS or PRINT

ConvergenceStatus

Convergence status

PSHORT

CorrParm

Correlations among parameter estimates

PCOVES and default

CovMat

Assorted cov matrices

PCOVES and default

DependParms

Dependent parameters (if specified by program statements)

PRIVEC and default

DistAsymStdRes

Distribution of asymptotically standardized residuals

RESIDUAL= or PRINT

DistNormRes

Distribution of normalized residuals

RESIDUAL= or PRINT

DistVarStdRes

Distribution of variance standardized residuals

RESIDUAL= or PRINT

Estimates

Vector of estimates

PRIVEC

Fit

Fit statistics

PSUMMARY

GenModInfo

General modeling information

PSIMPLE or default

Gradient

First partial derivatives (Gradient)

PRIVEC and default

InCorr

Input correlation matrix

PCORR or PALL

InCorrDet

Determinant of the input correlation matrix

PCORR or PALL

InCov

Input covariance matrix

PCORR or PALL

InCovDet

Determinant of the input covariance matrix

PCORR or PALL

Information

Information matrix

PCOVES and default

InitEstimates

Initial vector of parameter estimates

PINITIAL or default

InSymmetric

Input symmetric matrix (SYMATRIX data type)

PCORR or PALL

IterHist

Iteration history

PSHORT

IterStart

Iteration start

PSHORT

IterStop

Iteration stop

PSHORT

Jacobian

Jacobi column pattern

PJACPAT

Kurtosis

Kurtosis, with raw data input

KURTOSIS or PRINT

LagrangeBoundary

Lagrange, releasing active boundary constraints

MODIFICATION or PALL

LagrangeEquality

Lagrange, releasing equality constraints

MODIFICATION or PALL

ModelStatement

Model summary

PSHORT

ModIndices

Lagrange multiplier and Wald test statistics

MODIFICATION or PALL

NormRes

Normalized residual matrix

RESIDUAL= or PRINT

PredetElements

Predetermined elements

PREDET or PALL

PredModel

Predicted model matrix

PCORR or PALL

PredModelDet

Predicted model determinant

PCORR or PALL

ProblemDescription

Problem Description

PSHORT

RankAsymStdRes

Ranking of the largest asymptotically standardized residuals

RESIDUAL= or PRINT

RankLagrange

Ranking of the largest Lagrange indices

RESIDUAL= or PRINT

RankNormRes

Ranking of the largest normalized residuals

RESIDUAL= or PRINT

RankRawRes

Ranking of the largest raw residuals

RESIDUAL= or PRINT

RankVarStdRes

Ranking of the largest variance standardized residuals

RESIDUAL= or PRINT

RawRes

Raw residual matrix

RESIDUAL= or PRINT

SimpleStatistics

Simple statistics, with raw data input

SIMPLE or default

StdErrs

Vector of standard errors

PRIVEC and default

SumSqDif

Sum of squared differences of predetermined elements

PREDET or PALL

tValues

Vector of t values

PRIVEC and default

VarStdRes

Variance of standardized residual matrix

RESIDUAL= or PRINT

WaldTest

Wald test

MODIFICATION or PALL

Weights

Weight matrix

PWEIGHT or PALL

WeightsDet

Determinant of the weight matrix

PWEIGHT or PALL

ODS Tables Created by the FACTOR, LINEQS, and RAM Models

Determination

Coefficients of determination

PDETERM and default

SqMultCorr

Squared multiple correlations

PESTIM or PSHORT

ODS Tables Created by the COSAN and FACTOR Models

EstParms

Estimated parameter matrix

PESTIM or PSHORT

InitParms

Initial matrix of parameter estimates

PINITIAL or default

ODS Tables Created by the LINEQS and RAM Models

Indirect Effects

Indirect effects

TOTEFF or PRINT

InitParms

Initial matrix of parameter estimates

PRIMAT and default

LatentScoreCoef

Latent variable regression score coefficients

PLATCOV or PRINT

PredMomentLatent

Predicted latent variable moments

PLATCOV or PRINT

PredMomentManLat

Predicted manifest and latent variable moments

PLATCOV or PRINT

SetCovExog

Set covariance parameters for manifest exogenous variables

PINITIAL or default

Stability

Stability of reciprocal causation

PDETERM and default

StructEq

Variables in the structural equations

PDETERM and default

TotalEffects

Total effects

TOTEFF or PRINT

VarSelection

Manifest variables, if not all are used, selected for modeling

 

ODS Tables Created by the FACTOR Model

FactCorrExog

Correlations among factors

PESTIM or PSHORT

FactScoreCoef

Factor score regression coefficients

PESTIM or PSHORT

RotatedLoadings

Rotated loadings, with ROTATE= option in FACTOR statement

PESTIM or PSHORT

Rotation

Rotation matrix, with ROTATE= option in FACTOR statement

PESTIM or PSHORT

StdLoadings

Standardized factor loadings

PESTIM or PSHORT

ODS Tables Created by the LINEQS Model

CorrExog

Correlations among exogenous variables

PESTIM or PSHORT

EndogenousVar

Endogenous variables

PESTIM or PSHORT

EstCovExog

Estimated covariances among exogenous variables

PESTIM or PSHORT

EstLatentEq

Estimated latent variable equations

PESTIM or PSHORT

EstManifestEq

Estimated manifest variable equations

PESTIM or PSHORT

EstVarExog

Estimated variances of exogenous variables

PESTIM or PSHORT

ExogenousVar

List of exogenous variables

PESTIM or PSHORT

InCovExog

Input covariances among exogenous variables

PESTIM or PSHORT

InLatentEq

Input latent variable equations

PESTIM or PSHORT

InManifestEq

Input manifest variable equations

PESTIM or PSHORT

InVarExog

Input variances of exogenous variables

PESTIM or PSHORT

StdLatentEq

Standardized latent variable equations

PESTIM or PSHORT

StdManifestEq

Standardized manifest variable equations

PESTIM or PSHORT

ODS Tables Created by the RAM Model

InitRAMEstimates

Initial RAM estimates

PESTIM or PSHORT

RAMCorrExog

Correlations among exogenous variables

PESTIM or PSHORT

RAMEstimates

RAM final estimates

PESTIM or PSHORT

RAMStdEstimates

Standardized estimates

PESTIM or PSHORT

Table 10.29: ODS Table Names Produced by the CANCORR Procedure

Table Name

Description

Option

MultStat

Multivariate statistics

ODS Tables Created by PROC CANCORR

AvgRSquare

Average R-Squares (weighted and unweighted)

VDEP (or WDEP) or SMC (or ALL)

CanCorr

Canonical correlations

CanStructureVCan

Correlations between the VAR canonical variables and the VAR and WITH variables

default (unless SHORT)

CanStructureWCan

Correlations between the WITH canonical variables and the WITH and VAR variables

default (unless SHORT)

ConfidenceLimits

95% confidence limits for the regression coefficients

VDEP (or WDEP) or CLB (or ALL)

Corr

Correlations among the original variables

CORR (or ALL)

CorrRegCoefEst

Correlations among the regression coefficient estimates

VDEP (or WDEP) or CORRB (or ALL)

NObsNVar

Number of observations and variables

SIMPLE (or ALL)

ParCorr

Partial correlations

VDEP (or WDEP) or PCORR (or ALL)

ProbtRegCoef

Prob > |t| for the regression coefficients

VDEP (or WDEP) or PROBT (or ALL)

RawCanCoefV

Raw canonical coefficients for the VAR variables

default (unless SHORT)

RawCanCoefW

Raw canonical coefficients for the WITH variables

default (unless SHORT)

RawRegCoef

Raw regression coefficients

VDEP (orWDEP)orB(orALL)

Redundancy

Canonical redundancy analysis

REDUNDANCY (or ALL)

Regression

Squared multiple correlations and F tests

VDEP (or WDEP) or SMC (or ALL)

SemiParCorr

Semi-partial correlations

VDEP (or WDEP) or SPCORR (or ALL)

SimpleStatistics

Simple statistics

SIMPLE (or ALL)

SqMultCorr

Canonical redundancy analysis: squared multiple correlations

REDUNDANCY (or ALL)

SqParCorr

Squared partial correlations

VDEP (or WDEP) or SQPCORR (or ALL)

SqSemiParCorr

Squared semi-partial correlations

VDEP (or WDEP) or SQSPCORR (or ALL)

StdCanCoefV

Standardized canonical coefficients for the VAR variables

default (unless SHORT)

StdCanCoefW

Standardized canonical coefficients for the WITH variables

default (unless SHORT)

StdErrRawRegCoef

Standard errors of the raw regression coefficients

VDEP (or WDEP) or SEB (or ALL)

StdRegCoef

Standardized regression coefficients

VDEP (or WDEP) or STB (or ALL)

tValueRegCoef

t values for the regression coefficients

VDEP (or WDEP)orT (orALL)

ODS Tables Created by the PARTIAL Statement

CorrOnPartial

Partial correlations

CORR (or ALL)

RSquareRMSEOnPartial

R-Squares and RMSEs on PARTIAL

CORR (or ALL)

StdRegCoefOnPartial

Standardized regression coefficients on PARTIAL

CORR (or ALL)

Table 10.30: ODS Table Names Produced by the CANDISC Procedure

Table Name

Description

Option

ANOVA

Univariate statistics

ANOVA

AveRSquare

Average R-Square

ANOVA

BCorr

Between-class correlations

BCORR

BCov

Between-class covariances

BCOV

BSSCP

Between-class SSCP matrix

BSSCP

BStruc

Between canonical structure

 

CanCorr

Canonical correlations

 

CanonicalMeans

Class means on canonical variables

Counts

Number of observations, variables, classes, DF

 

CovDF

DF for covariance matrices, not printed

any *COV option

Dist

Squared distances

MAHALANOBIS

DistFValues

F statistics based on squared distances

MAHALANOBIS

DistProb

Probabilities for F statistics from squared distances

MAHALANOBIS

Levels

Class level information

 

MultStat

MANOVA

 

PCoef

Pooled standard canonical coefficients

 

PCorr

Pooled within-classcorrelations

PCORR

PCov

Pooled within-class covariances

PCOV

PSSCP

Pooled within-class SSCP matrix

PSSCP

PStdMeans

Pooled standardized class means

STDMEAN

PStruc

Pooled within canonical structure

 

RCoef

Raw canonical coefficients

 

SimpleStatistics

Simple statistics

SIMPLE

TCoef

Total-sample standard canonical coefficients

 

TCorr

Total-sample correlations

TCORR

TCov

Total-sample covariances

TCOV

TSSCP

Total-sample SSCP matrix

TSSCP

TSTDMeans

Total standardized class means

STDMEAN

TStruc

Total canonical structure

 

WCorr

Within-class correlations

WCORR

WCov

Within-class covariances

WCOV

WSSCP

Within-class SSCP matrices

WSSCP

Table 10.31: ODS Table Names Produced by the CATMOD Procedure

Table Name

Description

Option

ODS Tables Created by the MODEL Statement

ANOVA

Analysis of variance

 

ConvergenceStatus

Convergence status

ML

CorrB

Correlation matrix of the estimates

CORRB

CovB

Covariance matrix of the estimates

COVB

Estimates

Analysis of estimates

default, unless NOPARM

MaxLikelihood

Maximum likelihood analysis

ML

OneWayFreqs

One-way frequencies

ONEWAY

PopProfiles

Population profiles

default, unless NOPROFILE

PredictedFreqs

Predicted frequencies

PRED=FREQ

PredictedProbs

Predicted probabilities

PREDICT or PRED=PROB

PredictedValues

Predicted values

PREDICT or PRED=

ResponseCov

Response functions, covariance matrix

COV

ResponseDesign

Response functions, design matrix

WLS, unless NODESIGN

ResponseFreqs

Response frequencies

FREQ

ResponseProbs

Response probabilities

PROB

ResponseProfiles

Response profiles

default, unless NOPROFILE

XPX

X *Inv(S)*X matrix

XPX, for WLS

ODS Tables Created by the CONTRAST Statement

Contrasts

Contrasts

 

ContrastEstimates

Analysis of contrasts

ESTIMATE=

ODS Tables Created by the PROC Statement

DataSummary

Data summary

 

ODS Tables Created by the MODEL and LOGLIN Statements

ResponseMatrix

_RESPONSE_ matrix

unless NORESPONSE

Table 10.32: ODS Table Names Produced by the CLUSTER Procedure

Table Name

Description

Option

ODS Tables Created by the PROC Statement

ClusterHistory

Observations or clusters joined, frequencies and other cluster statistics

 

SimpleStatistics

Simple statistics, before or after trimming

SIMPLE

EigenvalueTable

Eigenvalues of the CORR or COV matrix

 
Table 10.33: ODS Table Names Produced by the CORRESP Procedure

Table Name

Description

Option

AdjInGreenacre

Greenacre inertia adjustment

GREENACRE

AdjInBenzecri

Benzecri inertia adjustment

BENZECRI

Binary

Binary table

OBSERVED or BINARY

BinaryPct

Binary table percents

OBSERVED or BINARY

Burt

Burt table

OBSERVED or MCA

BurtPct

Burt table percents

OBSERVED or MCA

CellChiSq

Contributions to Chi Square

CELLCHI2

CellChiSqPct

Contributions, percents

CELLCHI2

ColBest

Col best indicators

 

ColContr

Col contributions to inertia

 

ColCoors

Col coordinates

 

ColProfiles

Col profiles

CP

ColProfilesPct

Col profiles, percents

CP

ColQualMassIn

Col quality, mass, inertia

 

ColSqCos

Col squared cosines

 

DF

DF, Chi Square (not displayed)

 

Deviations

Observed ” expected frequencies

DEVIATIONS

DeviationsPct

Observed ” expected percentages

DEVIATIONS

Expected

Expected frequencies

EXPECTED

ExpectedPct

Expected percents

EXPECTED

Intertias

Inertia decomposition table

 

Observed

Observed frequencies

OBSERVED

ObservedPct

Observed percents

OBSERVED

RowBest

Row best indicators

 

RowContr

Row contributions to inertia

 

RowCoors

Row coordinates

 

RowProfiles

Row profiles

RP

RowProfilesPct

Row profiles, percents

RP

RowQualMassIn

Row quality, mass, inertia

 

RowSqCos

Row squared cosines

 

SupColCoors

Supp col coordinates

 

SupColProfiles

Sup col profiles

CP

SupColProfilesPct

Sup col profiles, percents

CP

SupColQuality

Supp col quality

 

SupCols

Supplementary col frequency

OBSERVED

SupColsPct

Supplementary col percents

OBSERVED

SupColSqCos

Supplementary col squared cosines

 

SupRows

Supplementary row frequencies

OBSERVED

SupRowCoors

Supplementary row coordinates

 

SupRowProfiles

Supplementary row profiles

RP

SupRowProfilesPct

Supplementary row profiles, percents

RP

SupRowQuality

Supplementary row quality

 

SupRowsPct

Supplementary row percents

OBSERVED

SupRowSqCos

Supplementary row square cosines

 
Table 10.34: ODS Table Names Produced by the DISCRIM Procedure

Table Name

Description

Option

ANOVA

Univariate statistics

ANOVA

AvePostCrossVal

Average posterior probabilities, cross validation

POSTERR and CROSSVALIDATE

AvePostResub

Average posterior probabilities, resubstitution

POSTERR

AvePostTestClass

Average posterior probabilities, test classification

POSTERR and TEST=

AveRSquare

Average R-Square

ANOVA

BCorr

Between-class correlations

BCORR

BCov

Between-class covariances

BCOV

BSSCP

Between-class SSCP matrix

BSSCP

BStruc

Between canonical structure

CANONICAL

CanCorr

Canonical correlations

CANONICAL

CanonicalMeans

Class means on canonical variables

CANONICAL

ChiSq

Chi-Square information

POOL=TEST

ClassifiedCrossVal

Number of observations and percent classified , cross validation

CROSSVALIDATE

ClassifiedResub

Number of observations and percent classified, resubstitution

 

ClassifiedTestClass

Number of observations and percent classified, test classification

TEST=

Counts

Number of observations, variables, classes, DF

 

CovDF

DF for covariance matrices, not displayed

any *COV option

Dist

Squared distances

MAHALONOBIS

DistFValues

F values based on squared distances

MAHALONOBIS

DistGeneralized

Generalized squared distances

 

DistProb

Probabilities for F values from squared distances

MAHALONOBIS

ErrorCrossVal

Error count estimates, cross validation

CROSSVALIDATE

ErrorResub

Error count estimates, resubstitution

 

ErrorTestClass

Error count estimates, test classification

TEST=

Levels

Class level information

 

LinearDiscFunc

Linear discriminant function

POOL=YES

LogDet

Log determinant of the covariance matrix

 

MultStat

MANOVA

MANOVA

PCoef

Pooled standard canonical coefficients

CANONICAL

PCorr

Pooled within-classcorrelations

PCORR

PCov

Pooled within-class covariances

PCOV

PSSCP

Pooled within-class SSCP matrix

PSSCP

PStdMeans

Pooled standardized class means

STDMEAN

PStruc

Pooled within canonical structure

CANONICAL

PostCrossVal

Posterior probabilities, cross validation

CROSSLIST or CROSSLISTERR

PostErrCrossVal

Posterior error estimates, cross validation

POSTERR and CROSSVALIDATE

PostErrResub

Posterior error estimates, resubstitution

POSTERR

PostErrTestClass

Posterior error estimates, test classification

POSTERR and TEST=

PostResub

Posterior probabilities, resubstitution

LIST or LISTERR

PostTestClass

Posterior probabilities, test classification

TESTLIST or TESTLISTERR

RCoef

Raw canonical coefficients

CANONICAL

SimpleStatistics

Simple statistics

SIMPLE

TCoef

Total-sample standard canonical coefficients

CANONICAL

TCorr

Total-sample correlations

TCORR

TCov

Total-sample covariances

TCOV

TSSCP

Total-sample SSCP matrix

TSSCP

TStdMeans

Total standardized class means

STDMEAN

TStruc

Total canonical structure

CANONICAL

WCorr

Within-class correlations

WCORR

WCov

Within-class covariances

WCOV

WSSCP

Within-class SSCP matrices

WSSCP

Table 10.35: ODS Table Names Produced by the FACTOR Procedure

Table Name

Description

Option

AlphaCoef

Coefficientalpha foreachfactor

METHOD=ALPHA

CanCorr

Squared canonical correlations

METHOD=ML

CondStdDev

Conditional standard deviations

SIMPLE w/PARTIAL

ConvergenceStatus

Convergence status

METHOD=PRINIT, =ALPHA, =ML, or =ULS

Corr

Correlations

CORR

Eigenvalues

Eigenvalues

default or SCREE

Eigenvectors

Eigenvectors

EIGENVECTORS

FactorWeightRotate

Factor weights for rotation

HKPOWER=

FactorPattern

Factor pattern

 

FactorStructure

Factor structure

ROTATE= any oblique rotation

FinalCommun

Final communalities

default

FinalCommunWgt

Final communalities with weights

METHOD=ML or METHOD=ALPHA

FitMeasures

Measures of fit

METHOD=ML

ImageCoef

Image coefficients

METHOD=IMAGE

ImageCov

Image covariance matrix

METHOD=IMAGE

ImageFactors

Image factor matrix

METHOD=IMAGE

InputFactorPattern

Input factor pattern

METHOD=PATTERN with PRINT or ALL

InputScoreCoef

Standardized input scoring coefficients

METHOD=SCORE with PRINT or ALL

InterFactorCorr

Inter-factor correlations

ROTATE=any oblique rotation

InvCorr

Inverse correlation matrix

ALL

IterHistory

Iteration history

METHOD=PRINIT, =ALPHA, =ML, or =ULS

MultipleCorr

Squared multiple correlations

METHOD=IMAGE or METHOD=HARRIS

NormObliqueTrans

Normalized oblique transformation matrix

ROTATE=any oblique rotation

ObliqueRotFactPat

Rotated factor pattern

ROTATE=any oblique rotation

ObliqueTrans

Oblique transformation matrix

HKPOWER=

OrthRotFactPat

Rotated factor pattern

ROTATE=any orthogonal rotation

OrthTrans

Orthogonal transformational matrix

ROTATE=any orthogonal rotation

ParCorrControlFactor

Partial correlations controlling factors

RESIDUAL

ParCorrControlVar

Partial correlations controlling other variables

MSA

PartialCorr

Partial correlations

MSA or CORR w/PARTIAL

PriorCommunalEst

Prior communality estimates

PRIORS =, METHOD=ML, or METHOD=ALPHA

ProcrustesTarget

Target matrix for Procrustean transformation

ROTATE=PROCRUSTES or ROTATE=PROMAX

ProcrustesTrans

Procrustean transformation matrix

ROTATE=PROCRUSTES or ROTATE=PROMAX

RMSOffDiagPartials

Root mean square off-diagonal partials

RESIDUAL

RMSOffDiagResids

Root mean square off-diagonal residuals

RESIDUAL

ReferenceAxisCorr

Reference axis correlations

ROTATE=any oblique rotation

ReferenceStructure

Reference structure

ROTATE=any oblique rotation

ResCorrUniqueDiag

Residual correlations with uniqueness on the diagonal

RESIDUAL

SamplingAdequacy

Kaiser s measure of sampling adequacy

MSA

SignifTests

Significance tests

METHOD=ML

SimpleStatistics

Simple statistics

SIMPLE

StdScoreCoef

Standardized scoring coefficients

SCORE

VarExplain

Variance explained

 

VarExplainWgt

Variance explained with weights

METHOD=ML or METHOD=ALPHA

VarFactorCorr

Squared multiple correlations of the variables with each factor

SCORE

VarWeightRotate

Variable weights for rotation

NORM=WEIGHT or ROTATE=

Table 10.36: ODS Table Names Produced by the FASTCLUS Procedure

Table Name

Description

Option

ODS Tables Created by the PROC Statement

ApproxExpOverAllRSq

Approximate expected overall R-Squared, single number

 

CCC

Cubic clustering criterion, single number

 

ClusterList

Cluster listing, obs, ID, and distances

LIST

ClusterSum

Cluster summary, cluster number, distances

PRINTALL

ClusterCenters

Cluster centers

 

ClusterDispersion

Cluster dispersion

 

ConvergenceStatus

Convergence status

PRINTALL

Criterion

Criterion based on final seeds , single number

 

DistBetweenClust

Distance between clusters

 

InitialSeeds

Initial seeds

 

IterHistory

Iteration history, various statistics for each iteration

PRINTALL

MinDist

Minimum distance between initial seeds, single number

PRINTALL

NumberOfBins

Number of bins

 

ObsOverAllRSquare

Observed overall R-Squared. single number

SUMMARY

PrelScaleEst

Preliminary L(1) scale estimate, single number

PRINTALL

PseudoFStat

Pseudo F statistic, single number

 

SimpleStatistics

Simple statistics for input variables

 

VariableStat

Statistics for variables within clusters

 
Table 10.37: ODS Table Names Produced by the GAM Procedure

Table Name

Description

Option

ODS Tables Created by the PROC Statement

ANODEV

Analysis of deviance table for smoothing variables

 

ClassSummary

Summary of class variables

 

InputSummary

Data summary

 

IterSummary

Iteration summary

 

FitSummary

Fit parameters and fit summary

 

ParameterEstimates

Parameter estimation for regression variables

 

ODS Tables Created by the MODEL Statement

Iteration

Iteration history table

ITPRINT

Table 10.38: ODS Table Names Produced by the GENMOD Procedure

Table Name

Description

Option

ODS Tables Created by the CLASS Statement

ClassLevels

Class variable levels

 

ODS Tables Created by the CONTRAST Statement

Contrasts

Tests of contrasts

 

ContrastCoef

Contrast coefficients

E

LinDep

Linearly dependent rows of contrasts

 

NonEst

Nonestimable rows of contrasts

 

ODS Tables Created by the MODEL Statement

ConvergenceStatus

Convergence status

 

CorrB

Parameter estimate correlation matrix

CORRB

CovB

Parameter estimate covariance matrix

COVB

IterLRCI

Iteration history for likelihood ratio confidence intervals

LRCI ITPRINT

IterParms

Iteration history for parameter estimates

ITPRINT

IterType3

Iteration history for Type 3 statistics

TYPE3 ITPRINT

LRCI

Likelihood ratio confidence intervals

LRCI ITPRINT

LagrangeStatistics

Lagrange statistics

NOINT or NOSCALE

LastGradHess

Last evaluation of the gradient and Hessian

ITPRINT

ModelInfo

Model information

 

Modelfit

Goodness-of-fit statistics

 

ObStats

Observation-wise statistics

OBSTATS, CL, PREDICTED, RESIDUALS, or XVARS

ParameterEstimates

Parameter estimates

 

ParmInfo

Parameter indices

 

ResponseProfiles

Frequency counts for multinomial models

DIST=MULTINOMIAL

Type1

Type 1 tests

TYPE1

Type3

Type 3 tests

TYPE3

ODS Tables Created by the ESTIMATE Statement

Estimates

Estimates of contrasts

 

EstimateCoef

Contrast coefficients

E

ODS Tables Created by the REPEATED Statement

GEEEmpPEst

GEE parameter estimates with empirical standard errors

 

GEELogORInfo

GEE log odds ratio model information

LOGOR=

GEEModInfo

GEE model information

 

GEEModPEst

GEE parameter estimates with model-based standard errors

MODELSE

GEENCorr

GEE model-based correlation matrix

MCORRB

GEENCov

GEE model-based covariance matrix

MCOVB

GEERCorr

GEE empirical correlation matrix

ECORRB

GEERCov

Gee empirical covariance matrix

ECOVB

GEEWCorr

GEE working correlation matrix

CORRW

ODS Tables Created by the MODEL CONTRAST Statement

IterContrasts

Iteration history for contrasts

ITPRINT

ODS Tables Created by the MODEL REPEATED Statement

IterParmsGEE

Iteration history for GEE parameter estimates

ITPRINT

LastGEEGrad

Last evaluation of the generalized gradient and Hessian

ITPRINT

ODS Tables Created by the LSMEANS Statement

LSMeanCoef

Coefficients for least squares means

E

LSMeanDiffs

Least squares means differences

DIFF

LSMeans

Least squares means

 
Table 10.39: ODS Table Names Produced by the GLM Procedure

Table Name

Description

Option

DependentInfo

Simultaneously analyzed dependent variables

default when there are multiple dependent variables with different patterns of missing values

FitStatistics

R-Square, C.V., root MSE, and dependent mean

 

MatrixRepresentation

X matrix element representation

as needed for other options

ModelANOVA

ANOVA for model terms

 

NObs

Number of observations

 

OverallANOVA

Overall ANOVA

 

ODS Tables Created by the CLASS Statement

ClassLevels

Classification variable levels

 

ODS Tables Created by the CONTRAST Statement

AltErrContrasts

ANOVA table for contrasts with alternative error

E=

ContrastCoef

L matrix for contrast

EST

Contrasts

ANOVA table for contrasts

 

ODS Tables Created by the ESTIMATE Statement

Estimates

Estimate statement result

 

ODS Tables Created by the LSMEANS Statement

Diff

PDiff matrix of least-squares means

PDIFF

LSMeanCL

Confidence interval for LS-means

CL

LSMeanCoef

Coefficients of least-squares means

E

LSMeanDiffCL

Confidence interval for LS-mean differences

PDIFF and CL

LSMeans

Least-squares means

 

SimDetails

Details of difference quantile simulation

ADJUST=SIMULATE(REPORT)

SimResults

Evaluation of difference quantile simulation

ADJUST=SIMULATE(REPORT)

SlicedANOVA

Sliced effect ANOVA table

SLICE

ODS Tables Created by the MEANS Statement

Bartlett

Bartlett s homogeneity of variance test

HOVTEST=BARTLETT

CLDiffs

Multiple comparisons of pairwise differences

CLDIFF, DUNNETT, or (Unequal cells and not LINES)

CLDiffsInfo

Information for multiple comparisons of pairwise differences

CLDIFF, DUNNETT, or (Unequal cells and not LINES)

CLMeans

Multiple comparisons of means with confidence/comparison interval

CLM

CLMeansInfo

Information for multiple comparison of means with confidence/comparison interval

CLM

HOVFTest

Homogeneity of variance ANOVA

HOVTEST

MCLines

Multiple comparisons LINES output

LINES, ((DUNCAN, WALLER, SNK, or REGWQ) and not (CLDIFF or CLM)), or (Equal cells and not CLDIFF)

MCLinesInfo

Information for multiple comparison LINES output

LINES, ((DUNCAN, WALLER, SNK, or REGWQ) and not (CLDIFF or CLM)), or (Equal cells and not CLDIFF)

MCLinesRange

Ranges for multiple range MC tests

LINES, ((DUNCAN, WALLER, SNK, or REGWQ) and not (CLDIFF or CLM)), or (Equal cells and not CLDIFF)

Means

Group means

 

Welch

Welch s ANOVA

WELCH

ODS Tables Created by the MODEL Statement

Aliasing

Type 1, 2, 3, 4 aliasing structure

(E1, E2, E3, or E4) and ALIASING

EstFunc

Type 1, 2, 3, 4 estimable functions

E1, E2, E3, or E4

GAliasing

General form of aliasing structure

E and ALIASING

GEstFunc

General form of estimable functions

E

InvXPX

Inv(X X) matrix

INVERSE

ParameterEstimates

Estimated linear model coefficients

SOLUTION

PredictedInfo

Predicted values info

PREDICTED, CLM, or CLI

PredictedValues

Predicted values

PREDICTED, CLM, or CLI

Tolerances

X X tolerances

TOLERANCE

XPX

X X matrix

XPX

ODS Tables Created by the MANOVA or REPEATED Statements

CanAnalysis

Canonical analysis

CANONICAL

CanCoef

Canonical coefficients

CANONICAL

CanStructure

Canonical structure

CANONICAL

ErrorSSCP

Error SSCP matrix

PRINTE

HypothesisSSCP

Hypothesis SSCP matrix

PRINTH

PartialCorr

Partial correlation matrix

PRINTE

ODS Tables Created by the MANOVA Statement

CharStruct

Characteristic roots and vectors not

CANONICAL

MANOVATransform

Multivariate transformation matrix

M=

MultStat

Multivariate tests

 

Tests

Summary ANOVA for specified MANOVA H= effects

H=SUMMARY

ODS Tables Created by the RANDOM Statement

ExpectedMeanSquares

Expected mean squares

 

QForm

Quadratic form for expected mean squares

Q

RandomModelANOVA

Random effect tests

TEST

ODS Tables Created by the REPEATED Statement

CharStruct

Characteristic roots and vectors

PRINTRV

Epsilons

Greenhouse-Geisser and Huynh-Feldt epsilons

 

RepeatedLevelInfo

Correspondence between dependents and repeated measures levels

 

RepeatedTransform

Repeated measures transformation matrix

PRINTM

Sphericity

Sphericity tests

PRINTE

ODS Tables Created by the TEST Statement

AltErrTests

ANOVA table for tests with alternative error

E=

Table 10.40: ODS Table Names Produced by the GLMMOD Procedure

Table Name

Description

Option

DependentInfo

Simultaneously analyzed dependent variables

default when there are multiple dependent variables

DesignPoints

Design matrix

 

NObs

Number of observations

 

Parameters

Parameters and associated column numbers

 

ODS Tables Created by the CLASS Statement

ClassLevels

Table of class levels

 
Table 10.41: ODS Table Names Produced by the INBREED Procedure

Table Name

Description

Option

ODS Tables Created by the GENDER Statement

AvgCovCoef

Averages of covariance coefficient matrix

COVAR and AVERAGE

AvgInbreedingCoef

Averages of inbreeding coefficient matrix

AVERAGE

ODS Tables Created by the MATINGS Statement

MatingCovCoef

Covariance coefficients of matings

COVAR

MatingInbreedingCoef

Inbreeding coefficients of matings

 

ODS Tables Created by the PROC Statement

CovarianceCoefficient

Covariance coefficient table

COVAR

InbreedingCoefficient

Inbreeding coefficient table

 

IndividualCovCoef

Inbreeding coefficients of individuals

IND and COVAR

IndividualInbreedingCoef

Inbreeding coefficients of individuals

IND

NumberOfObservations

Number of observations

 
Table 10.42: ODS Table Names Produced by the KDE Procedure

Table Name

Description

BivariateStatistics

Bivariate statistics

Controls

Control variables

Inputs

Input information

Levels

Levels of density estimate

Percentiles

Percentiles of data

Statistics

Basic statistics

Table 10.43: ODS Table Names Produced by the LATTICE Procedure

Table Name

Description

ANOVA

Analysis of variance

AdjTreatmentMeans

Adjusted treatment means

Statistics

Additional statistics

Table 10.44: ODS Table Names Produced by the LIFEREG Procedure

Table Name

Description

Option

ODS Tables Created by the CLASS Statement

ClassLevels

Class variable levels

 

ODS Tables Created by the MODEL Statement

ConvergenceStatus

Convergence status

 

CorrB

Parameter estimate correlation matrix

CORRB

CovB

Parameter estimate covariance matrix

COVB

IterHistory

Iteration history

ITPRINT

LagrangeStatistics

Lagrange statistics

NOINT or NOSCALE

LastGrad

Last evaluation of the gradient

ITPRINT

LastHess

Last evaluation of the Hessian

ITPRINT

ModelInfo

Model information

 

ParameterEstimates

Parameter estimates

 

ParmInfo

Parameter indices

 

Type3Analysis

Type 3 tests

 

ODS Tables Created by the PROBPLOT Statement

EMIterHistory

Iteration history for Turnbull algorithm

ITPRINTEM

ProbEstimates

Nonparametric CDF estimates

PPOUT

Turnbull

Probability estimates from Turnbull algorithm

ITPRINTEM

Table 10.45: ODS Table Names Produced by the LIFETEST Procedure

Table Name

Description

Option

ODS Tables Created by the PROC Statement

CensorPlot

Line-printer plot of censored observations

PLOT=(C, S, LS or LLS), METHOD=PL, and LINEPRINTER

CensoredSummary

Number of event and censored observations

METHOD=PL

DensityPlot

Plot of the density

PLOT=(D) and METHOD=LT

HazardPlot

Plot of the hazards function

PLOT=(H) and METHOD=LT

LifetableEstimates

Lifetable survival estimates

METHOD=LT

LogLogSurvivalPlot

Plot of the log of the negative log survivor function

PLOT=(LLS)

LogSurvivalPlot

Plot ofthe logsurvivor function

PLOT=(LS)

Means

Mean and standard error of survival times

METHOD=PL

ProductLimitEstimates

Product-limit survival estimates

METHOD=PL

Quartiles

Quartiles of the survival distribution

METHOD=PL

SurvivalPlot

Plot of the survivor function

PLOT=(S)

ODS Tables Created by the STRATA Statement

HomStats

Rank statistics for testing strata homogeneity

 

HomTests

Tests for strata homogeneity

 

LogHomCov

Covariance matrix for the log-rank statistics for strata homogeneity

 

WilHomCov

Covariance matrix for the Wilcoxon statistics for strata homogeneity

 

ODS Tables Created by the TEST Statement

LogForStepSeq

Forward stepwise sequence for the log-rank statistics for association

 

LogTestCov

Covariance matrix for log-rank statistics for association

 

LogUniChisq

Univariate Chi-Squares for log-rank statistic for association

 

WilForStepSeq

Forward stepwise sequence for the log-rank statistics for association

 

WilTestCov

Covariance matrix for log-rank statistics for association

 

WilUniChiSq

Univariate Chi-Squares for Wilcoxon statistic for association

 
Table 10.46: ODS Table Names Produced by the LOESS Procedure

Table Name

Description

Option

FitSummary

Specified fit parameters and fit summary

 

ScaleDetails

Extent and scaling of the independent variables

 

ODS Tables Created by the MODEL Statement

kdTree

Structure of kd tree used

DETAILS(kdTree)

ModelSummary

Summary of all models evaluated

DETAILS(ModelSummary)

OutputStatistics

Coordinates and fit results at input data points

DETAILS(OutputStatistics)

PredAtVertices

Coordinates and fitted values at kd tree vertices

DETAILS(PredAtVertices)

SmoothingCriterion

Criterion value and selected smoothing parameter

SELECT

ODS Tables Created by the SCORE Statement

ScoreResults

Coordinates and fit results at scoring points

PRINT

Table 10.47: ODS Table Names Produced by the LOGISTIC Procedure

Table Name

Description

Option

ODS Tables Created by the CONTRAST Statement

ContrastCoeff

L matrix from CONTRAST

E

ContrastEstimate

Estimates from CONTRAST

ESTIMATE=

ContrastTest

Wald test for CONTRAST

 

ODS Tables Created by the EXACT Statement

ExactOddsRatio

Exact odds ratio

ESTIMATE=ODDS or ESTIMATE=BOTH

ExactParmEst

Parameter estimates

ESTIMATE, ESTIMATE=PARM, or ESTIMATE=BOTH

ExactTests

Conditional exact tests

 

SuffStats

Sufficient statistics

OUTDIST=

ODS Tables Created by the MODEL Statement

Association

Association of predicted probabilities and observed responses

 

BestSubsets

Best subset selection

SELECTION=SCORE

ClassLevelInfo

CLASS variable levels and design variables

default (with CLASS variables)

Classification

Classification table

CTABLE

CLOddsPL

Profile likelihood confidence limits for odds ratios

CLODDS=PL

CLOddsWald

Wald s confidence limits for odds ratios

CLODDS=WALD

CLParmPL

Profile likelihood confidence limits for parameters

CLPARM=PL

CLParmWald

Wald s confidence limits for parameters

CLPARM=WALD

ConvergenceStatus

Convergence status

 

CorrB

Estimated correlation matrix of parameter estimators

CORRB

CovB

Estimated covariance matrix of parameter estimators

COVB

CumulativeModelTest

Test of the cumulative model assumption

(ordinal response)

EffectNotInModel

Test for effects not in model

SELECTION=S or F

FastElimination

Fast backward elimination

SELECTION=B, FAST

FitStatistics

Model fit statistics

 

GlobalScore

Global score test

NOFIT

GlobalTests

Test for global null hypothesis

 

GoodnessOfFit

Pearson and deviance goodness-of-fit tests

SCALE

IndexPlots

Batch capture of the index plots

IPLOTS

Influence

Regression diagnostics

INFLUENCE

IterHistory

Iteration history

ITPRINT

LackFitChiSq

Hosmer-Lemeshow Chi-Square test results

LACKFIT

LackFItPartition

Partition for the Hosmer-Lemeshow test

LACKFIT

LastGradient

Last evaluation of gradient

ITPRINT

LogLikeChange

Final change in the log likelihood

ITPRINT

ModelBuildingSummary

Summary of model building

SELECTION=B, F, or S

OddsRatios

Odds ratios

 

ParameterEstimates

Maximum likelihood estimates of model parameters

 

RSquare

R-Square

RSQUARE

ResidualChiSq

Residual Chi-Square

SELECTION=F or B

Type3

Type 3 tests of effects

default (with CLASS variables)

ODS Tables Created by the PROC Statement

ClassFreq

Frequency breakdown of CLASS variables

SIMPLE

ClassWgt

Weight breakdown of CLASS variables

SIMPLE

ModelInfo

Model information

 

ResponseProfile

Response profile

 

SimpleStatistics

Summary statistics for explanatory variables

SIMPLE

ODS Tables Created by the STRATA Statement

StrataSummary

Number of strata with specific response frequencies

 

StrataInfo

Event and non-event frequencies for each stratum

INFO

ODS Tables Created by the TEST Statement

TestPrint1

L[cov(b)]L and Lb-c

PRINT

TestPrint2

Ginv(L[cov(b)]L) and Ginv(L[cov(b)]L)(Lb-c)

PRINT

TestStmts

Linear hypothesis testing results

 

ODS Tables Created by the WEIGHT Statement

ClassWgt

Weight breakdown of CLASS variables

SIMPLE

Table 10.48: ODS Table Names Produced by the MDS Procedure

Table Name

Description

Option

ConvergenceStatus

Convergence status

 

DimensionCoef

Dimension coefficients

PCOEF w/COEF= not IDENTITY

FitMeasures

Measures of fit

PFIT

IterHistory

Iteration history

 

PConfig

Estimated coordinates of the objects in the configuration

PCONFIG

PData

Data matrices

PDATA

PInAvData

Initial sum of weights and weighted average of data matrices with INAV=DATA

PINAVDATA

PInEigval

Initial eigenvalues

PINEIGVAL

PInEigvec

Initial eigenvectors

PINEIGVEC

PInWeight

Initialization weights

PINWEIGHT

Transformations

Transformation parameters

PTRANS w/LEVEL=RATIO, INTERVAL, or LOGINTERVAL

Table 10.49: ODS Table Names Produced by the MI Procedure

Table Name

Description

Option

Corr

Pairwise correlations

SIMPLE

MissPattern

Missing data patterns

 

ModelInfo

Model information

 

ParameterEstimates

Parameter estimates

 

Univariate

Univariate statistics

SIMPLE

VarianceInfo

Between, within, and total variances

 

ODS Tables Created by the EM Statement

EMEstimates

EM (MLE) estimates

 

EMInitEstimates

EM initial estimates

 

EMIterHistory

EM (MLE) iteration history

ITPRINT

ODS Tables Created by the MCMC Statement

EMPostEstimates

EM (posterior mode) estimates

INITIAL=EM

EMPostIterHistory

EM (posterior mode) iteration history

INITIAL=EM (ITPRINT)

EMWLF

Worst linear function

WLF

MCMCInitEstimates

MCMC initial estimates

DISPLAYINIT

ODS Tables Created by the MONOTONE Statement

MonoDiscrim

Discriminant model group means

DISCRIM (/DETAILS)

MonoLogistic

Logistic model

LOGISTIC (/DETAILS)

MonoModel

Multiple monotone models

 

MonoPropensity

Propensity score model logistic function

PROPENSITY (/DETAILS)

MonoReg

Regression model

REG (/DETAILS)

MonoRegPPM

Predicted mean matching model

REGPMM (/DETAILS)

ODS Tables Created by the TRANSFORM Statement

Transform

Variable transformations

 
Table 10.50: ODS Table Names Produced by the MIANALYZE Procedure

Table Name

Description

Option

BCov

Between-imputation covariance matrix

BCOV

ModelInfo

Model information

 

MultStat

Multivariate inference

MULT

ParameterEstimates

Parameter estimates

 

TCov

Total covariance matrix

TCOV

VarianceInfo

Variance information

 

WCov

Within-imputation covariance matrix

WCOV

ODS Tables Created by the TEST Statement

TestBCov

Between-imputation covariance matrix for L ²

BCOV

TestMultStat

Multivariate inference for L ²

MULT

TestParameterEstimates

Parameter estimates for L ²

 

TestSpec

Test specification, L and c

 

TestTCov

Total covariance matrix for L ²

TCOV

TestVarianceInfo

Variance information for L ²

 

TestWCov

Within ”imputation covariance matrix for L ²

WCOV

Table 10.51: ODS Table Names Produced by the MODECLUS Procedure

Table Name

Description

Option

ODS Tables Created by the PROC Statement

BoundaryFreq

Boundary objects information

BOUNDARY (or ALL)

ClusterList

Cluster listing, cluster ID, frequency, density, etc.

LIST (or ALL)

ClusterStats

Cluster statistics

 

ClusterStats

Cluster statistics, significance test statistics

TEST or JOIN (or ALL)

ClusterSummary

Cluster summary

 

ClusterSummary

Cluster summary, crossvalidation criterion

CROSS or CROSSLIST (or ALL)

ClusterSummary

Cluster summary, clusters joined information

JOIN (or ALL)

CrossList

Cross- validated log density

CROSSLIST

ListLocal

Local dimensionality estimates

LOCAL

Neighbor

Nearest neighbor list

NEIGHBOR (or ALL)

SimpleStatistics

Simple statistics

SIMPLE (or ALL)

Trace

Trace of clustering algorithm (METHOD=6 only)

TRACE (or ALL) with METHOD=6

UnassignObjects

Information on unassigned objects

LIST (or ALL)

Table 10.52: ODS Table Names Produced by the MULTTEST Procedure

Table Name

Description

Option

Continuous

Continuous variable tabulations

TEST with MEAN

Contrasts

Contrast coefficients

 

Discrete

Discrete variable tabulations

TEST with CA, FT, PETO, or FISHER

ModelInfo

Model information

 

pValues

p-values from the tests

 
Table 10.53: ODS Table Names Produced by the NESTED Procedure

Table Name

Description

ANCOVA

Analysis of covariance

ANOVA

Analysis of variance

EMSCoef

Coefficients of expected mean squares

Statistics

Overall statistics for fit

Table 10.54: ODS Table Names Produced by the NLIN Procedure

Table Name

Description

ANOVA

Analysis of variance

ConvergenceStatus

Convergence status

CorrB

Correlation of the parameters

EstSummary

Summary of the estimation

IterHistory

Iteration output

MissingValues

Missing values generated by the program

ParameterEstimates

Parameter estimates

ODS Tables Created by the LIST Statement

ProgList

List of the compiled program

ODS Tables Created by the LISTCODE Statement

CodeList

List of program statements

ODS Tables Created by the LISTDEP Statement

CodeDependency

Variable cross reference

ODS Tables Created by the LISTDER Statement

FirstDerivatives

First derivative table

Table 10.55: ODS Table Names Produced by the NLMIXED Procedure

Table Name

Description

Option

AdditionalEstimates

Results from ESTIMATE statements

ESTIMATE

ConvergenceStatus

Convergence status

 

CorrMatAddEst

Correlation matrix of additional estimates

ECORR

CorrMatParmEst

Correlation matrix of parameter estimates

CORR

CovMatAddEst

Covariance matrix of additional estimates

ECOV

CovMatParmEst

Covariance matrix of parameter estimates

COV

DerAddEst

Derivatives of additional estimates

EDER

Dimensions

Dimensions of the problem

 

FitStatistics

Fit statistics

 

Hessian

Second derivative matrix

HESS

IterHistory

Iteration history

 

Parameters

Parameters

 

ParameterEstimates

Parameter estimates

 

Specifications

Model specifications

 

StartingHessian

Starting hessian matrix

START HESS

StartingValues

Starting values and gradient

START

Table 10.56: ODS Table Names Produced by the NPAR1WAY Procedure

Table Name

Description

Option

ODS Tables Created by the EXACT Statement

ABMC

Monte Carlo estimates for the Ansari-Bradley exact test

AB or MC

DataScoresMC

Monte Carlo estimates for the exact test based on data scores

SCORES=DATA or MC

KlotzMC

Monte Carlo estimates for the Klotz exact test

KLOTZ or MC

KolSmirExactTest

Kolmogorov-Smirnov exact test

KS

KruskalWallisMC

Monte Carlo estimates for the Kruskal-Wallis exact test

WILCOXON or MC

KSMC

Monte Carlo estimates for the Kolmogorov-Smirnov exact test

KS or MC

MedianMC

Monte Carlo estimates for the median exact test

MEDIAN or MC

MoodMC

Monte Carlo estimates for the Mood exact test

MOOD or MC

SavageMC

Monte Carlo estimates for the Savage exact test

SAVAGE or MC

STMC

Monte Carlo estimates for the Siegel-Tukey one-way analysis

ST or MC

VWMC

Monte Carlo estimates for the Van der Waerden exact test

VW or MC

WilcoxonMC

Monte Carlo estimates for the Wilcoxon two-sample exact test

WILCOXON or MC

ODS Tables Created by the PROC Statement

ANOVA

Analysis of variance

ANOVA

ABAnalysis

Ansari-Bradley one-way analysis

AB

ABScores

Ansari-Bradley scores

AB

ABTest

Ansari-Bradley two-sample test

AB

ClassMeans

Class means

ANOVA

CVMStats

Cramer-von Mises statistics

EDF

CVMTest

Cramer-von Mises test

EDF

DataScores

Data scores

SCORES=DATA

DataScoresAnalysis

Data scores one-way analysis

SCORES=DATA

DataScoresTest

Data scores two-sample test

SCORES=DATA

KlotzAnalysis

Klotz one-way analysis

KLOTZ

KlotzScores

Klotz scores

KLOTZ

KlotzTest

Klotz two-sample test

KLOTZ

KolSmir2Stats

Kolmogorov-Smirnov two-sample statistics

EDF

KolSmirStats

Kolmogorov-Smirnov statistics

EDF

KolSmirTest

Kolmogorov-Smirnov test

EDF

KruskalWallisTest

Kruskal-Wallis test

WILCOXON

KuiperStats

Kuiper two-sample statistics

EDF

KuiperTest

Kuiper test

EDF

MedianAnalysis

Median one-way analysis

MEDIAN

MedianScores

Median scores

MEDIAN

MedianTest

Median two-sample test

MEDIAN

MoodAnalysis

Mood one-way analysis

MOOD

MoodScores

Mood scores

MOOD

MoodTest

Mood two-sample test

MOOD

SavageAnalysis

Savage one-way analysis

SAVAGE

SavageScores

Savage scores

SAVAGE

SavageTest

Savage two-sample test

SAVAGE

STAnalysis

Siegel-Tukey one-way analysis

ST

STScores

Siegel-Tukey scores

ST

STTest

Siegel-Tukey two-sample test

ST

VWAnalysis

Van der Waerden one-way analysis

VW

VWScores

Van der Waerden scores

VW

VWTest

Van der Waerden two-sample test

VW

WilcoxonScores

Wilcoxon scores

WILCOXON

WilcoxonTest

Wilcoxon two-sample test

WILCOXON

Table 10.57: ODS Table Names Produced by the ORTHOREG Procedure

Table Name

Description

ANOVA

Analysis of variance

FitStatistics

Overall statistics for fit

ParameterEstimates

Parameter estimates

ODS Tables Created by the CLASS Statement

Levels

Table of class levels

Table 10.58: ODS Table Names Produced by the PPHREG Procedure

Table Name

Description

Option

ODS Tables Created by the MODEL Statement

BestSubsets

Best subset selection

SELECTION=SCORE

CensoredSummary

Summary of event and censored observations

 

ConvergenceStatus

Convergence status

 

CorrB

Estimated correlation matrix of parameter estimators

CORRB

CovB

Estimated covariance matrix of parameter estimators

COVB

FitStatistics

Model fit statistics

 

GlobalScore

Global Chi-Square test

NOFIT

GlobalTests

Tests of the global null hypothesis

 

IterHistory

Iteration history

ITPRINT

LastGradient

Last evaluation of gradient

ITPRINT

ModelBuildingSummary

Summary of model building

SELECTION=B, F, or S

ParameterEstimates

Maximum likelihood estimates of model parameters

 

ResidualChiSq

Residual Chi-Square

SELECTION=F or B

VariablesNotInModel

Analysis of variables not in the model

SELECTION=F or S

ODS Tables Created by the PROC Statement

ModelInfo

Model information

 

SimpleStatistics

Summary statistics for explanatory variables

SIMPLE

ODS Tables Created by the TEST Statement

TestAverage

Average effect for test

AVERAGE

TestCoeff

Coefficients for linear hypothesis

E

TestPrint1

L[cov(b)]L and Lb-c

PRINT

TestPrint2

Ginv(L[cov(b)]L) and Ginv(L[cov(b)]L)(Lb-c)

PRINT

TestStmts

Linear hypotheses testing results

 
Table 10.59: ODS Table Names Produced by the PLAN Procedure

Table Name

Description

Plan

Computed plan

ODS Tables Created by the FACTOR and TREATMENT Statements

PFInfo

Plot factor information

TFInfo

Treatment factor information

ODS Tables Created by the FACTOR and no TREATMENT Statements

FInfo

General factor information

Table 10.60: ODS Table Names Produced by the PLS Procedure

Table Name

Description

Option

ODS Tables Created by the MODEL Statement

CenScaleParms

Parameter estimates for centered and scaled data

SOLUTION

ParameterEstimates

Parameter estimates for raw data

SOLUTION

ODS Tables Created by the PROC Statement

CVResults

Results of cross validation

CV

CodedCoef

Coded coefficients

DETAILS

PercentVariation

Variation accounted for by each factor

 

ResidualSummary

Residual summary from cross validation

CV

XEffectCenScale

Centering and scaling informationforpredictoreffects

CENSCALE

XLoadings

Loadings for independents

DETAILS

XVariableCenScale

Centering and scaling information for predictor effects

CENSCALE and VARSCALE

XWeights

Weights for independents

DETAILS

YVariableCenScale

Centering and scaling information for responses

CENSCALE

YWeights

Weights for dependents

DETAILS

Table 10.61: ODS Table Names Produced by the PRINCOMP Procedure

Table Name

Description

Option

Corr

Correlation matrix

default unless COV is specified

Cov

Covariance matrix

default if COV is specified

Eigenvalues

Eigenvalues

 

Eigenvectors

Eigenvectors

 

NObsNVar

Number of observations, variables, and (partial) variables

 

SimpleStatistics

Simple statistics

 

TotalVariance

Total variance

COV

ODS Tables Created by the PARTIAL Statement

ParCorr

Partial correlation matrix

 

ParCov

Uncorrected partial covariance matrix

COV

RegCoef

Regression coefficients

COV

RSquareRMSE

Regression statistics: R-Squares and RMSEs

 

StdRegCoef

Standardized regression coefficients

 
Table 10.62: ODS Table Names Produced by the PRINQUAL Procedure

Table Name

Description

Option

ConvergenceStatus

Convergence status

 

Footnotes

Iteration history footnotes

 

ODS Tables Created by the PROC Statement

MAC

MAC iteration history

METHOD=MAC

MGV

MGV iteration history

METHOD=MGV

MTV

MTV iteration history

METHOD=MTV

Table 10.63: ODS Table Names Produced by the PROBIT Procedure

Table Name

Description

Option

ODS Tables Created by the CLASS Statement

ClassLevels

Class variable levels

 

ODS Tables Created by the MODEL Statement

ConvergenceStatus

Convergence status

 

CorrB

Parameter estimate correlation matrix

CORRB

CovB

Parameter estimate covariance matrix

COVB

CovTolerance

Covariance matrix for location and scale

 

GoodnessOfFit

Goodness of fit tests

LACKFIT

IterHistory

Iteration history

ITPRINT

LagrangeStatistics

Lagrange statistics

NOINT

LastGrad

Last evaluation of the gradient

ITPRINT

LastHess

Last evaluation of the Hessian

ITPRINT

LogProbitAnalysis

Probit analysis for log dose

INVERSECL

ModelInfo

Model information

 

MuSigma

Location and scale

 

ParameterEstimates

Parameter estimates

 

ParmInfo

Parameter indices

 

ProbitAnalysis

Probit analysis for linear dose

INVERSECL

ResponseLevels

Response-covariate profile

LACKFIT

ResponseProfiles

Counts for ordinal data

 

Type3Analysis

Type 3 tests

 
Table 10.64: ODS Table Names Produced by the REG Procedure

Table Name

Description

Option

ODS Tables Created by the MODEL Statement

ACovEst

Consistent covariance of estimates matrix

ALL or ACOV

ANOVA

Model ANOVA table

 

CollinDiag

Collinearity diagnostics table

COLLIN

CollinDiagNoInt

Collinearity diagnostics for no intercept model

COLLINOINT

ConditionBounds

Bounds on condition number

(SELECTION=BACKWARD, FORWARD, STEPWISE, MAXR, or MINR) and DETAILS

CorrB

Correlation of estimates

CORRB

CovB

Covariance of estimates

COVB

CrossProducts

Bordered model X X matrix

ALL or XPX

DWStatistic

Durbin-Watson statistic

ALL or DW

DependenceEquations

Linear dependence equations

 

EntryStatistics

Entry statistics for selection methods

(SELECTION=BACKWARD, FORWARD, STEPWISE, MAXR, or MINR) and DETAILS

FitStatistics

Model fit statistics

 

InvXPX

Bordered X X inverse matrix

I

OutputStatistics

Output statistics table

ALL, CLI, CLM, INFLUENCE, P, or R

ParameterEstimates

Model parameter estimates

 

RemovalStatistics

Removal statistics for selection methods

(SELECTION=BACKWARD, STEPWISE, MAXR, or MINR) and DETAILS

ResidualStatistics

Residual statistics and PRESS statistic

ALL, CLI, CLM, INFLUENCE, P, or R

SelParmEst

Parameter estimates for selection methods

SELECTION=BACKWARD, FORWARD, STEPWISE, MAXR, or MINR

SelectionSummary

Selection summary for forward, backward, and stepwise methods

SELECTION=BACKWARD, FORWARD, or STEPWISE

SeqParmEst

Sequential parameter estimates

SEQB

SpecTest

White s heteroscedasticity test

ALL or SPEC

SubsetSelSummary

Selection summary for R-Square, adj-RSq, and Cp methods

SELECTION=RSQUARE, ADJRSQ, or CP

ODS Tables Created by the MTEST Statement

CanCorr

Canonical correlations for hypothesis combinations

CANPRINT

Eigenvalues

MTest eigenvalues

CANPRINT

Eigenvectors

MTest eigenvectors

CANPRINT

ErrorPlusHypothesis MTest error plus hypothesis

matrix H+E

PRINT

ErrorSSCP

MTest error matrix E

PRINT

HypothesisSSCP

MTest hypothesis matrix

PRINT

InvMTestCov

Inv(L Ginv(X X)L) and Inv(Lb-c)

DETAILS

MTestCov

L Ginv(X X) L and Lb-c

DETAILS

MTransform

MTest matrix M, across dependents

DETAILS

MultStat

Multivariate test statistics

 

ODS Tables Created by the PROC Statement

Corr

Correlation matrix for analysis variables

ALL or CORR

SimpleStatistics

Simple statistics for analysis variables

ALL or SIMPLE

USSCP

Uncorrected SSCP matrix for analysis variables

ALL or USSCP

ODS Tables Created by the TEST Statement

ACovTestANOVA

Test ANOVA using ACOV estimates

ACOV (MODEL statement)

InvTestCov

Inv(L Ginv(X X)L) and Inv(Lb-c)

PRINT

TestANOVA

Test ANOVA table

 

TestCov

L Ginv(X X) L and Lb-c

PRINT

Table 10.65: ODS Table Names Produced by the ROBUSTREG Procedure

Table Name

Description

Option

ODS Tables Created by the CLASS Statement

ClassLevels

Class variable levels

 

ODS Tables Created by the MODEL Statement

CorrB

Parameter estimate correlation matrix

CORRB

CovB

Parameter estimate covariance matrix

COVB

Diagnostics

Outlier diagnostics

DIAGNOSTICS

DiagSummary

Summary of the outlier diagnostics

 

GoodFit

R2, deviance, AIC, and BIC

 

ModelInfo

Model information

 

ParameterEstimates

Parameter estimates

 

ParmInfo

Parameter indices

 

SummaryStatistics

Summary statistics for model variables

 

ODS Tables Created by the PROC Statement

BestEstimates

Best final estimates for LTS

SUBANALYSIS

BestSubEstimates

Best estimates for each subgroup

SUBANALYSIS

BiasTest

Bias test for MM estimation

BIASTEST

CStep

C-Step for LTS fitting

SUBANALYSIS

Groups

Groups for LTS fitting

SUBANALYSIS

InitLTSProfile

Profile for initial LTS estimate

METHOD

InitSProfile

Profile for initial S estimate

METHOD

LTSEstimates

LTS parameter estimates

METHOD

LTSLocationScale

Location and scale for LTS

METHOD

LTSProfile

Profile for LTS estimate

METHOD

LTSRsquare

R2 for LTS estimate

METHOD

MMProfile

Profile for MM estimate

METHOD

ParameterEstimatesF

Final weighted LS estimates

FWLS

SProfile

Profile for S estimate

METHOD

ODS Tables Created by the TEST Statement

ParameterEstimatesR

Reduced parameter estimates

 

TestsProfile

Results for tests

 
Table 10.66: ODS Table Names Produced by the RSREG Procedure

Table Name

Description

Coding

Coding coefficients for the independent variables

ErrorANOVA

Error analysis of variance

FactorANOVA

Factor analysis of variance

FitStatistics

Overall statistics for fit

ModelANOVA

Model analysis of variance

ParameterEstimates

Estimated linear parameters

Spectral

Spectral analysis

StationaryPoint

Stationary point of response surface

ODS Tables Created by the RIDGE Statement

Ridge

Ridge analysis for optimum response

Table 10.67: ODS Table Names Produced by the STDIZE Procedure

Table Name

Description

Option

Statistics

Location and scale measures

PSTAT

Table 10.68: ODS Table Names Produced by the STEPDISC Procedure

Table Name

Description

Option

BCorr

Between-class correlations

BCORR

BCov

Between-class covariances

BCOV

BSSCP

Between-class SSCP matrix

BSSCP

Counts

Number of observations, variables, classes, and DF

 

CovDF

DF for covariance matrices, not printed

any *COV option

Levels

Class level information

 

Messages

Entry/removal messages

 

Multivariate

Multivariate statistics

 

PCorr

Pooled within-classcorrelations

PCORR

PCov

Pooled within-class covariances

PCOV

PSSCP

Pooled within-class SSCP matrix

PSSCP

PStdMeans

Pooled standardized class means

STDMEAN

SimpleStatistics

Simple statistics

SIMPLE

Steps

Stepwise selection entry/ removal

 

Summary

Stepwise selection summary

 

TCorr

Total-sample correlations

TCORR

TCov

Total-sample covariances

TCOV

TSSCP

Total-sample SSCP matrix

TSSCP

TStdMeans

Total standardized class means

STDMEAN

Variables

Variable lists

 

WCorr

Within-class correlations

WCORR

WCov

Within-class covariances

WCOV

WSSCP

Within-class SSCP matrices

WSSCP

Table 10.69: ODS Table Names Produced by the SURVEYMEANS Procedure

Table Name

Description

Option

ODS Tables Created by the CLASS Statement

ClassVarInfo

Class level information

 

ODS Tables Created by the DOMAIN Statement

Domain

Statistics in domains

 

ODS Tables Created by the PROC Statement

Statistics

Statistics

 

Summary

Data summary

 

ODS Tables Created by the RATIO Statement

Ratio

Statistics for ratios

 

ODS Tables Created by the STRATA Statement

StrataInfo

Stratum information

LIST

Table 10.70: ODS Table Names Produced by the SURVEYREG Procedure

Table Name

Description

Option

ODS Tables Created by the CLASS Statement

ClassVarInfo

Class level information

 

ODS Tables Created by the CLUSTER Statement

DesignSummary

Design summary

 

ODS Tables Created by the CONTRAST Statement

ContrastCoef

Coefficients of contrast

E

Contrasts

Analysis of contrasts

 

ODS Tables Created by the ESTIMATE Statement

EstimateCoef

Coefficients of estimate

E

Estimates

Analysis of estimable functions

 

ODS Tables Created by the MODEL Statement

ANOVA

ANOVA for dependent variable

ANOVA

CovB

Covariance of estimated regression coefficients

COVB

DataSummary

Data summary

 

Effects

Tests of model effects

 

FitStatistics

Fit statistics

 

InvXPX

Inverse matrix of X X

INV

ParameterEstimates

Estimated regression coefficients

 

XPX

X X matrix

XPX

ODS Tables Created by the STRATA Statement

DesignSummary

Data summary

 

StrataInfo

Stratum information

LIST

Table 10.71: ODS Table Names Produced by the SURVEYSELECT Procedure

Table Name

Description

ODS Tables Created by the PROC Statement

Method

Sample selection method

Summary

Sample selection summary

Table 10.72: ODS Table Names Produced by the TPHREG Procedure

Table Name

Description

Option

ODS Tables Created by the CONTRAST Statement

ContrastCoeff

L matrix for contrasts

E

ContrastEstimate

Individual contrast estimates

ESTIMATE=

ContrastTest

Wald test for contrasts

 

ODS Tables Created by the MODEL Statement

BestSubsets

Best subset selection

SELECTION=SCORE

CensoredSummary

Summary of event and censored observations

 

ClassLevelInfo

CLASS variable levels and design variables

default (with CLASS variables)

ConvergenceStatus

Convergence status

 

CorrB

Estimated correlation matrix of parameter estimates

CORRB

CovB

Estimated covariance matrix of parameter estimators

COVB

EffectsToEnter

Eligible effects for entry to model

SELECTION=F or S

EffectsToRemove

Eligible effects for removal from model

SELECTION=B or S

FitStatistics

Model fit statistics

 

GlobalScore

Global Chi-Square test

NOFIT

GlobalTests

Tests of the global null hypothesis

 

IterHistory

Iteration history

ITPRINT

LastGradient

Last evaluation of gradient

ITPRINT

ModelBuildingSummary

Summary of model building

SELECTION=B, F, or S

ParameterEstimates

Maximum likelihood estimates of model parameters

 

ResidualChiSq

Residual Chi-Square

SELECTION=F or B

Type3

Type 3 tests of effects

default (with CLASS variables)

ODS Tables Created by the PROC Statement

ClassLevelFreq

Frequency breakdown of CLASS variables

SIMPLE (with CLASS variables)

ModelInfo

Model information

 

SimpleStatistics

Summary statistics for interval explanatory variables

SIMPLE

ODS Tables Created by the TEST Statement

TestAverage

Average effect for test

AVERAGE

TestCoeff

Coefficients for linear hypothesis

E

TestPrint1

L[cov(b)]L and Lb-c

PRINT

TestPrint2

Ginv(L[cov(b)]L) and Ginv(L[cov(b)]L)(Lb-c)

PRINT

TestStmts

Linear hypothesis test results

 

ODS Tables Created by the WEIGHT Statement

ClassWgt

Weight breakdown of CLASS variables

SIMPLE (with CLASS variables)

Table 10.73: ODS Table Names Produced by the TPSPLINE Procedure

Table Name

Description

Option

ODS Tables Created by the MODEL Statement

GCVFunction

GCV table

LOGNLAMBDA or LAMBDA

ODS Tables Created by the PROC Statement

DataSummary

Data summary

 

FitStatistics

Model fit statistics

 

FitSummary

Fit parameters and fit summary

 
Table 10.74: ODS Table Names Produced by the TRANSREG Procedure

Table Name

Description

Option

ConvergenceStatus

Convergence status

 

Equation

Linear dependency equation

less-than -full-rank model

Footnotes

Iteration history footnotes

 

ODS Tables Created by the MODEL Statement

BoxCox

Box-Cox transformation results

BOXCOX

SplineCoef

Spline coefficients

SPLINE or MSPLINE

ODS Tables Created by the MODEL and PROC Statements

NObs

ANOVA

TEST or SS2

ClassLevels

ANOVA

TEST or SS2

ANOVA

ANOVA

TEST or SS2

LiberalANOVA

ANOVA

TEST or SS2

ConservANOVA

ANOVA

TEST or SS2

FitStatistics

Fit statistics like R-Square

TEST or SS2

LiberalFitStatistics

Fit statistics

TEST or SS2

ConservFitStatistics

Fit statistics

TEST or SS2

MVANOVA

Multivariate ANOVA

TEST or SS2

LiberalMVANOVA

Multivariate ANOVA

TEST or SS2

ConservANOVA

Multivariate ANOVA

TEST or SS2

Coef

Regression results

SS2

LiberalCoef

Regression results

SS2

ConservCoef

Regression results

SS2

MVCoef

Multivariate regression results

SS2

LiberalMVCoef

Multivariate regression results

SS2

ConservMVCoef

Multivariate regression results

SS2

Utilities

Conjoint analysis utilities

UTILITY

LiberalUtilities

Conjoint analysis utilities

UTILITY

ConservUtilities

Conjoint analysis utilities

UTILITY

Details

Model details

DETAIL

Univariate

Univariate iteration history

METHOD=UNIVARIATE

MORALS

MORALS iteration history

METHOD=MORALS

CANALS

CANALS iteration history

METHOD=CANALS

Redundancy

Redundancy iteration history

METHOD=REDUNDANCY

TestIterations

Hypothesis test iterations iteration history

SS2

Table 10.75: ODS Table Names Produced by the TREE Procedure

Table Name

Description

Option

ODS Tables Created by the PROC Statement

Tree

Line-printer plot of the tree

LINEPRINTER

TreeListing

Line-printer listing of all nodes in the tree

LIST

Table 10.76: ODS Table Names Produced by the TTEST Procedure

Table Name

Description

Statistics

Univariate summary statistics

TTests

t -tests

ODS Tables Created by the CLASS Statement

Equality

Tests for equality of variance

Table 10.77: ODS Table Names Produced by the VARCLUS Procedure

Table Name

Description

Option

ClusterQuality

Cluster quality

 

ClusterStructure

Cluster structure

 

ClusterSummary

Cluster summary

 

ConvergenceStatus

Convergence status

 

Corr

Correlations

CORR

DataOptSummary

Data and options summary table

 

InterClusterCorr

Inter-cluster correlations

 

IterHistory

Iteration history

TRACE

RSquare

Cluster R-Square

 

SimpleStatistics

Simple statistics

SIMPLE

StdScoreCoef

Standardized scoring coefficients

 
Table 10.78: ODS Table Names Produced by the VARCOMP Procedure

Table Name

Description

Option

ClassLevels

Class level information

 

ConvergenceStatus

Convergence status

 

Estimates

Variance component estimates (one variable)

 

Estimates n

Variance component estimates (multiple variables)

 

NObs

Number of observations

 

ODS Tables Created by the METHOD Statement

ANOVA

Type 1 analysis of variance

TYPE1

AsyCov

Asymptotic covariance matrix of estimates

ML or REML

DepVar

Dependent variable (one variable)

TYPE1, REML, or ML

DepVar n

Dependent variable n (multiple variables)

TYPE1, REML, or ML

DependentInfo

Dependent variable information (multiple variables)

MIVQUE0

IterHistory

Iteration history

ML or REML

SCCP

Sum of squares matrix (one variable)

MIVQUE0

SCCP n

Sum of squares matrix (multiple variable)

MIVQUE0

ODS Table Names and the SAS/ETS Procedures that Produce Them

The following table lists the output object table names which SAS/ETS procedures produce. You must license SAS/ETS software in order to produce these output objects. The table provides the name of each table, a description of what the table contains, and the option, if any, that creates the output object table. For more information about SAS/ ETS procedures, see

Table 10.79: ODS Table Names Produced by the ARIMA Procedure

Table Name

Description

Option

ODS Tables Created by the IDENTIFY Statement

DescStats

Descriptive statistics

 

InputDescStats

Input descriptive statistics

 

CorrGraph

Correlations graph

 

StationarityTest

Stationarity tests

STATIONARITY

TentativeOrders

Tentative order selections

MINIC, ESACF, or SCAN

PACFGraph

Partial autocorrelations graph

 

IACFGraph

Inverse autocorrelations graph

 

ChiSqAuto

Chi-Square statistics table for autocorrelation

 

ChiSqCross

Chi-Square statistics table for cross-correlations

CROSSCORR=

MINIC

Minimum information criterion

MINIC

ESACF

Extended sample autocorrelation function

ESACF

ESACFPValues

ESACF probability values

ESACF

SCAN

Squared canonical correlation estimates

SCAN

SCANValues

SCAN Chi-Square[1] probability values

 

ODS Tables Created by the ESTIMATE Statement

FitStatistics

Fit statistics

 

ARPolynomial

Filter equations

 

MAPolynomial

Filter equations

 

NumPolynomial

Filter equations

 

DenPolynomial

Filter equations

 

ParameterEstimates

Parameter estimates

 

ChiSqAuto

Chi-Square statistics table for autocorrelation

 

ChiSqCross

Chi-Square statistics table for cross-correlations

 

InitialAREstimates

Initial autoregressive parameter estimates

 

InitialMAEstimates

Initial moving average parameter estimates

 

PrelimEstimates

Preliminary estimation

 

IterHistory

Conditional least squares estimation

METHOD=CLS

OptSummary

ARIMA estimation optimization

PRINTALL

ModelDescription

Model description

 

InputDescription

Input description

 

ObjectiveGrid

Objective function grid matrix

GRID

CorrB

Correlations of the estimates

 

ODS Tables Created by the OUTLIER Statement

OutlierDetails

Detected outliers

 

ODS Tables Created by the FORECAST Statement

Forecasts

Fit statistics

 
Table 10.80: ODS Table Names Produced by the AUTOREG Procedure

Table Name

Description

Option

ODS Tables Created by the MODEL Statement

FitSummary

Summary of regression

 

SummaryDepVarCen

Summary of regression (centered dependent variable)

CENTER

SummaryNoIntercept

Summary of regression (no intercept)

NOINT

YWIterSSE

Yule-Walker iteration sum of squared error

METHOD=ITYW

PreMSE

Preliminary MSEs

NLAG=

Dependent

Dependent variable

 

DependenceEquations

Linear dependence equation

 

ARCHTest

Q and LM tests for ARCH disturbances

ARCHTEST

ChowTest

Chow test and predictive chow test

CHOW= or PCHOW=

Godfrey

Godfrey s serial correlation test

GODFREY or GODFREY=

PhilPerron

Phillips-Perron unit root test

STATIONARITY=, (PHILLIPS<=()>), (no regressor)

PhilOul

Phillips-Ouliaris cointegration test

STATIONARITY=, (PHILLIPS<=()>), (has regressor)

ResetTest

Ramsey s RESET test

RESET

ARParameterEstimates

Estimates of autoregressive parameters

NLAG=

CorrGraph

Estimates of au tocorrelations

NLAG=

BackStep

Backward elimination of autoregressive terms

BACKSTEP

ExpAutocorr

Expected autocorrelations

NLAG=

IterHistory

Iteration history

ITPRINT

ParameterEstimates

Parameter estimates

 

ParameterEstimatesGivenAR

Parameter estimates assuming AR parameters are given

NLAG=

PartialAutoCorr

Partial autocorrelation

PARTIAL

CovB

Covariance of parameter estimates

COVB

CorrB

Correlation of parameter estimates

CORRB

CholeskyFactor

Cholesky root of gamma

ALL

Coefficients

Coefficients for first NLAG observations

COEF

GammaInverse

Gamma inverse

GINV

ConvergenceStatus

Convergence status table

 

DWTestProb

Durbin-Watson statistics

DW=

ODS Tables Created by the RESTRICT Statement

Restrict

Restriction table

 

ODS Tables Created by the TEST Statement

FTest

F test

 

WaldTest

Wald test

TYPE=WALD

Table 10.81: ODS Table Names Produced by the ENTROPY Procedure

Table Name

Description

ConvCrit

Convergence criteria for estimation

ConvergenceStatus

Convergence status

DatasetOptions

Data sets used

MinSummary

Number of parameters, estimation kind

ObsUsed

Observations read, used, and missing

ParameterEstimates

Parameter estimates

ResidSummary

Summary of the SSE, MSE for the equations

TestResults

Test statement table

Table 10.82: ODS Table Names Produced by the LOAN Procedure

Table Name

Description

Option

ODS Tables Created by the PROC LOAN, FIXED, ARM, BALLOON, and BUYDOWN Statements

Repayment

Loan repayment schedule

SCHEDULE

ODS Tables Created by the FIXED, ARM, BALLOON, and BUYDOWN Statements

LoanSummary

Loan summary

 

RateList

Rates and payments

 

PrepayList

Prepayments and periods

PREPAYMENTS=

ODS Tables Created by the BALLOON Statement

BalloonList

Balloon payments and periods

 

ODS Tables Created by the COMPARE Statement

Comparison

Loan comparison report

 
Table 10.83: ODS Table Names Produced by the MDC Procedure

Table Name

Description

Option

ODS Tables Created by the MODEL Statement

FitSummary

Summary of nonlinear estimation

 

ResponseProfile

Response profile

 

GoodnessOfFit

Pseudo-R 2 measures

 

ParameterEstimates

Parameter estimates

 

LinConSol

Linearly independent active linear constraints

 

CovB

Covariance of parameter estimates

COVB

CorrB

Correlation of parameter estimates

CORRB

Table 10.84: ODS Table Names Produced by the MODEL Procedure

Table Name

Description

Option

ODS Tables Created by the FIT Statement

AugGMMCovariance

Cross products matrix

GMM

ChowTest

Structural change test

CHOW=

CollinDiagnostics

Collinearity diagnostics

 

ConfInterval

Profile likelihood confidence intervals

PRL=

ConvCrit

Convergence criteria for estimation

 

ConvergenceStatus

Convergence status

 

CorrB

Correlations of parameters

COVB or CORRB

CorrResiduals

Correlations of residuals

CORRS or COVS

CovB

Covariance of parameters

COVB or CORRB

CovResiduals

Covariance of residuals

CORRS or COVS

Crossproducts

Cross products matrix

ITALL or ITPRINT

DatasetOptions

Data sets used

 

DetResidCov

Determinant of the residuals

DETAILS

DWTest

Durbin-Watson test

DW=

Equations

List of equations to estimate

 

EstSummaryMiss

Model summary statistics for PAIRWISE

MISSING=

EstSummaryStats

Objective, objective * N

 

GMMCovariance

Cross products matrix

GMM

Godfrey

Godfrey s serial correlation test

GF=

HausmanTest

Hausman s test table

HAUSMAN

HeteroTest

Heteroscedasticity test tables

BREUSCH or PAGEN

InvXPXMat

X X inverse for system

I

IterInfo

Iteration printing

ITALL or ITPRINT

LagLength

Model lag length

 

MinSummary

Number of parameters, estimation kind

 

MissingValues

Missing values generated by the program

 

ModSummary

List of all categorized values

 

ModVars

List of model variables and parameters

 

NormalityTest

Normality test table

NORMAL

ObsSummary

Identifies observations with errors

 

ObsUsed

Observations read, used, and missing

default

ParameterEstimates

Parameter estimates

 

ParmChange

Parameter change vector

 

ResidSummary

Summary of the SSE, MSE for the equations

 

SizeInfo

Storage requirement for estimation

DETAILS

TermEstimates

Nonlinear OLS and ITOLS estimates

OLS or ITOLS

TestResults

Test statement table

 

WgtVar

The name of the weight variable

 

XPXMat

X X for system

XPX

ODS Tables Created by the SOLVE Statement

DatasetOptions

Data sets used

 

DescriptiveStatistics

Descriptive statistics

STATS

FitStatistics

Fit statistics for simulation

STATS

LagLength

Model lag length

 

ModSummary

List of all categorized variables

 

ObsSummary

Simulation trace output

SOLVEPRINT

ObsUsed

Observations resa, used, and missing

 

SimulationSummary

Number of variables solved for

 

SolutionVarList

Solution variable lists

 

TheilRelStats

Theil relative change error statistics

THEIL

TheilStats

Theil forecast error statistics

THEIL

ODS Tables Created by the FIT and SOLVE Statements

AdjacencyMatrix

Adjacency graph

GRAPH

BlockAnalysis

Block analysis

BLOCK

CodeDependency

Variable cross reference

LISTDEP

CodeList

List of programs statements

LISTCODE

CrossReference

Cross reference listing for program

 

DepStructure

Dependency structure for the system

BLOCK

DerList

Derivative variables

LISTDER

InterIntg

Integration iteration output

INTGPRINT

MemUsage

Memory usage statistics

MEMORYUSE

ParmReadIn

Parameter estimates read in

ESTDATA=

ProgList

List of compiled program data

 

RangeInfo

RANGEstatementspecification

 

SortAdjacencyMatrix

Sorted adjacency graph

GRAPH

TransitiveClosure

Transitive closure graph

GRAPH

Table 10.85: ODS Table Names Produced by the PDLREG Procedure

Table Name

Description

Option

ODS Tables Created by the MODEL Statement

ARParameterEstimates

Estimates of autoregressive parameters

NLAG=

CholeskyFactor

Cholesky root of gamma

 

Coefficients

Coefficients for first NLAG observations

NLAG=

ConvergenceStatus

Convergence status table

 

CorrB

Correlation of parameter estimates

CORRB

CorrGraph

Estimates of autocorrelations

NLAG=

CovB

Covariance of parameter estimates

COVB

DependenceEquations

Linear dependence equation

 

Dependent

Dependent variable

 

DWTest

Durbin-Watson statistics

DW=

ExpAutocorr

Expected autocorrelations

NLAG=

FitSummary

Summary of regression

 

GammaInverse

Gamma inverse

 

IterHistory

Iteration history

ITPRINT

LagDist

Lag distribution

ALL

ParameterEstimates

Parameter estimates

 

ParameterEstimatesGivenAR

Parameter estimates assuming AR parameters are given

NLAG=

PartialAutoCorr

Partial autocorrelation

PARTIAL

PreMSE

Preliminary MSE

NLAG=

XPXIMatrix

Inverse X X matrix

XPX

XPXMatrix

X X matrix

XPX

YWIterSSE

Yule-Walker iteration sum of squared error

METHOD=ITYW

ODS Tables Created by the RESTRICT Statement

Restrict

Restriction table

 
Table 10.86: ODS Table Names Produced by the SIMLIN Procedure

Table Name

Description

Option

Endogenous

Structural coefficients for endogenous variables

 

LaggedEndogenous

Structural coefficients for lagged endogenous variables

 

Exogenous Structural

Coefficients for exogenous variables

 

InverseCoeff

Inverse coefficient matrix for endogenous variables

 

RedFormLagEndo

Reduced form for lagged endogenous variables

 

RedFormExog

Reduced form for exogenous variables

 

InterimMult

Interim multipliers

INTERIM=option

TotalMult

Total multipliers

TOTAL=option

FitStatistics

Fit statistics

 
Table 10.87: ODS Table Names Produced by the SPECTRA Procedure

Table Name

Description

Option

WhiteNoiseTest

White noise test

WHITETEST

Kappa

Fishers kappa

WHITETEST

Bartlett

Bartletts Kolmogorov-Smirnov statistic

WHITETEST

Table 10.88: ODS Table Names Produced by the STATESPACE Procedure

Table Name

Description

Option

NObs

Number of observations

 

Summary

Simple summary statistics table

 

InfoCriterion

Information criterion table

 

CovLags

Covariance matrices of input series

PRINTOUT=LONG

CorrLags

Correlation matrices of input series

PRINTOUT=LONG

PartialAR

Partial autoregressive matrices

PRINTOUT=LONG

YWEstimates

Yule-Walker estimates for minimum AIC

 

CovResiduals

Covariance of residuals

PRINTOUT=LONG

CorrResiduals

Residual correlations from AR models

PRINTOUT=LONG

StateVector

State vector table

 

CorrGraph

Schematic representation of correlations

 

TransitionMatrix

Transition matrix

 

InputMatrix

Input matrix

 

VarInnov

Variance matrix for the innovation

 

CovB

Covariance of parameter estimates

COVB

CorrB

Correlation of parameter estimates

COVB

CanCorr

Canonical correlation analysis

CANCORR

IterHistory

Iterative fitting table

ITPRINT

ParameterEstimates

Parameter estimates table

 

Forecasts

Forecasts table

PRINT

ConvergenceStatus

Convergence status table

 
Table 10.89: ODS Table Names Produced by the SYSLIN Procedure

Table Name

Description

Option

ANOVA

Summary of the SSE, MSE for the equations

 

AugXPXMat

Model crossproducts

XPX

AutoCorrStat

Autocorrelation statistics

 

ConvCrit

Convergence criteria for estimation

 

ConvergenceStatus

Convergence status

 

CorrB

Correlations of parameters

CORRB

CorrResiduals

Correlations of residuals

CORRS

CovB

Covariance of parameters

COVB

CovResiduals

Covariance of residuals

COVS

Endomat

Endogenous variables

 

Equations

List of equations to estimates

 

ExogMat

Exogenous variables

 

FitStatistics

Statistics of fit

 

InvCorrResiduals

Inverse correlations of residuals

CORRS

InvCovResiduals

Inverse covariance of residuals

COVS

InvEndoMat

Inverse endogenous variables

 

InvXPX

X X inverse for system

I

IterHistory

Iteration printing

ITALL or ITPRINT

MissingValues

Missing values generated by the program

 

ModelVars

Name and label for the model

 

ParameterEstimates

Parameter estimates

 

RedMat

Reduced form

REDUCED

SimpleStatistics

Descriptive statistics

SIMPLE

SSCP

Model crossproducts

 

TestResults

Test for overidentifying restrictions

 

Weight

Weighted model statistics

 

YPY

Y Y matrices

USSCP2

Table 10.90: ODS Table Names Produced by the TSCSREG Procedure

Table Name

Description

Option

ODS Tables Created by the MODEL Statement

ModelDescription

Model description

 

FitStatistics

Fit statistics

 

FixedEffectsTest

F test for no fixed tests

 

ParameterEstimates

Parameter estimates

 

CovB

Covariance of parameter estimates

 

CorrB

Correlations of parameter estimates

 

VarianceComponents

Variance component estimates

 

RandomEffectsTest

Hausman test for random effects

 

AR1Estimates

First order autoregressive parameter estimates

 

EstimatedPhiMatrix

Estimated phi matrix

PARKS

EstimatedAutocovariances

Estimates of autocovariances

PARKS

ODS Tables Created by the TEST Statement

TestResults

Test results

 
Table 10.91: ODS Table Names Produced by the TIMESERIES Procedure

Table Name

Description

ODS Tables Created by the PRINT=DECOMP Option

SeasonalDecomposition

Seasonal decomposition

ODS Tables Created by the PRINT=DESCSTATS Option

DescStats

Descriptive statistics

ODS Tables Created by the PRINT=SEASONS Option

SeasonStatistics

Season statistics

ODS Tables Created by the PRINT=TRENDS Option

TrendStatistics

Trend statistics

Table 10.92: ODS Table Names Produced by the VARMAX Procedure

Table Name

Description

Option

ODS Tables Created by the MODEL Statement

AccumImpulse

Accumulated impulse response matrices

IMPULSE=(ACCUM) or IMPULSE=(ALL)

AccumImpulsX

Accumulated transfer function matrices

IMPULSX=(ACCUM) or IMPULSX=(ALL)

Alpha

± coefficients

JOHANSEN=

AlphaInECM

± coefficients

ECM=

AlphaOnDrift

± coefficients on restriction of a deterministic term

JOHANSEN=

AlphaBetaInECM

= ±² coefficients

ECM=

ArchCoef

ARCH coefficients

GARCH=

ARCoef

AR coefficients

P= or DYNAMIC with P=

ARRoots

Roots of AR characteristic polynomial

ROOTS

Beta

² coefficients

JOHANSEN=

BetaInECM

² coefficients

ECM=

BetaOnDrift

² coefficients on restriction of a deterministic term

JOHANSEN=

Constant

Constant estimates

w/o NOINT

CorrB

Correlations of parameter estimates

CORRB

CorrResiduals

Cross-correlations of residuals

 

CorrResidualsGraph

Schematic representation of residual cross-correlations

 

CorrGraph

Schematic representation of sample cross-correlations

CORRX or CORRY

CorrXLags

Cross-correlation matrices of independent series

CORRX

CorrYLags

Cross-correlation matrices of dependent series

CORRY

CovB

Covariance of parameter estimates

COVB

CovInnov

Covariance matrix for the innovation

 

CovPredError

Covariance matrices of the prediction error

COVPE

CovResiduals

Cross-covariance matrices of residuals

 

CovXLags

Cross-covariance matrices of independent series

COVX

CovYLags

Cross-correlations matrices of dependent series

COVY

DecompCovPredError

Decomposition of the prediction error covariance

DECOMPOSE

DFTest

Dickey-Fuller tests

DFTEST

DriftHypo

Hypothesis of different deterministic terms in cointegration rank test

JOHANSEN=

DrifyHypoTest

Test hypothesis of different deterministic terms in cointegration rank test

JOHANSEN=

EigenvalueI2

Eigenvalues in integrated order 2

JOHANSEN= (IORDER=2)

Eta

· coefficients

JOHANSEN= (IORDER=2)

GARCHParameterEstimates

GARCH parameter estimates table

GARCH=

GARCHParameterGraph

Schematic representation of the garch parameters

 

GARCHRoots

Roots of GARCH characteristic polynomial

GARCH=

GARCHCoef

GARCH coefficients

GARCH=

GARCHConstant

GARCH constant estimates

GARCH=

InfiniteARRepresent

Infinite order AR representation

IARR

InfoCriterion

Information criterion

 

LinearTrend

Linear trend estimates

TREND=

MACoef

MA coefficients

Q=

MARoots

Roots of MA characteristic polynomial

Q=

MaxTest

Cointegration rank test using the maximum eigenvalue

JOHANSEN= (TYPE=MAX)

MaxTestOnDrift

Cointegration rank test using the maximum eigenvalue on restriction of a deterministic term

JOHANSEN= (TYPE=MAX)

ModelType

Type of model

 

NObs

Number of observations

 

OrthoImpulse

Orthogonalized impulse response matrices

IMPULSE=(ORTH) or IMPULSE=(ALL)

ParameterEstimates

Parameter estimates table

 

ParameterGraph

Schematic representation of the parameters

 

PartialAR

Partial autoregression matrices

PARCOEF

PartialARGraph

Schematic representation of partial autoregression

PARCOEF

PartialCanCorr

Partial canonical correlation analysis

PCANCORR

PartialCorr

Partial cross-correlation matrices

PCORR

PartialCorrGraph

Schematic representation of partial cross correlations

PCORR

PortmanteauTest

Chi-Square test table for residual cross-correlations

 

ProportionDecomp

Proportions of prediction error covariance decomposition

DECOMPOSE

RankTestI2

Cointegration rank test in integrated order 2

JOHANSEN= (IORDER=2)

QuadTrend

Quadratic trend estimates

TREND=QUAD

SConstant

Seasonal constant estimates

NSEASON=

SimpleImpulse

Impulse response matrices

IMPULSE,

IMPULSE=SIMPLE, or

IMPULSE=(ALL)

SimpleImpulsX

Impulse response matrices in transfer function

IMPULSX,

IMPULSX=(SIMPLE), or

IMPULSX=(ALL)

Summary

Simple summary statistics

 

SWTest

Common trends test

SW or SW=

TentativeOrders

Tentative order selection

MINIC or MINIC=

TraceTest

Cointegration rank test using the trace

JOHANSEN= (TYPE=TRACE)

TraceTestOnDrift

Cointegration rank test using the trace on restriction of a deterministic term

JOHANSEN= (TYPE=TRACE)

UnivarDiagnostAR

Check the AR disturbance for the residuals

 

UnivarDiagnostCheck

Univariate model diagnostic checks

 

UnivarDiagnostTest

Check the ARCH disturbance and normality for the residuals

 

Xi

coefficient matrix

JOHANSEN= (IORDER=2)

XLagCoef

Dependent coefficients

XLAG=

YWEstimates

Yule-Walker estimates

YW

ByVariable

Prints by variable

PRINTFORM=

ODS Tables Created by the COINTEG Statement

AlphaInECM

± coefficients

 

AlphaBetaInECM

= ±² coefficients

 

BetaInECM

± coefficients

 

AlphaOnTest

± coefficients under restriction

H= or J=

BetaOnTest

± coefficients under restriction

H= or J=

RestrictMatrix

Restriction matrix for or ²

H= or J=

RestrictTest

Hypothesis testing of or ²

H= or J=

WeakExogeneity

Testing weak exogeneity of each dependent variable with respect to beta

EXOGENEITY

ODS Tables Created by the CASUAL Statement

Causality

Granger-Causality test

 

ODS Tables Created by the RESTRICT Statement

Restrict

Restriction table

 

ODS Tables Created by the TEST Statement

Test

Wald test

 

ODS Tables Created by the OUTPUT Statement

Forecasts

Forecasts table w/o

NOPRINT

Table 10.93: ODS Table Names Produced by the X11 Procedure

Table Name

Description

Option

ODS Tables Created by the MONTHLY and QUARTERLYStatements

Preface

X11 seasonal adjustment program information giving credits, dates, etc.

Always printed unless NOPRINT

A1

Table A1: OriginalSeries

 

A2

Table A2: Prior monthly

 

A3

Table A3: Original series adjusted for prior monthly factors

 

A4

Table A4: Prior trading day adjustment factors with and without length of month adjustments

 

A5

Table A5: Original series adjusted for priors

 

B1

Table B16: Original series or original series adjusted for priors

 

B2

Table B2: Trend cycle ” centered nn-term moving average

 

B3

Table B3: Unmodified SI ratios

 

B4

Table B4: Replacement values for extreme SI ratios

 

B5

Table B5: Seasonal factors

 

B6

Table B6: Seasonally adjusted series

 

B7

Table B7: Trend cycle ” Henderson curve

 

B8

Table B8: Unmodified SI ratios

 

B9

Table B9: Replacement values for extreme SI ratios

 

B10

Table B10: Seasonal factors

 

B11

Table B11: Seasonally adjusted series

 

B13

Table B13: Irregular series

 

B15

Table B15: Preliminary trading day regression

 

B16

Table B16: Trading day adjustment factors derived from regression

 

B17

Table B17: Preliminary weights for irregular components

 

B18

Table B18: Trading day adjustment factors from combined weights

 

B19

Table B19: Original series adjusted for preliminary combined TD weights

 

C1

Table C1: Original series adjusted for preliminary weights

 

C2

Table C2: Trend cycle ” centered nn-term moving average

 

C4

Table C4: Modified SI ratios

 

C5

Table C5: Seasonal factors

 

C6

Table C6: Seasonally adjusted factors

 

C7

Table C7: Trend cycle ” Henderson curve

 

C9

Table C9: Modified CI ratios

 

C10

Table C10: Seasonal factors

 

C11

Table C11: Seasonally adjusted series

 

C13

Table C13: Irregular series

 

C15

Table C15: Final trading day regression

 

C16

Table C16: Trading day adjustment factors derived from regression

 

C17

Table C17: Final weights for irregular component

 

C18

Table C18: Trading day adjustment factors from combined weights

 

C19

Table C19: Original series adjusted for final combined TD weights

 

D1

Table D1: Original series adjusted for final weights on nn-term moving average

 

D4

Table D4: Modified SI ratios

 

D5

Table D5: Seasonal factors

 

D6

Table D6: Seasonally adjusted series

 

D7

Table D7: Trend cycle ” Henderson curve

 

D8

Table D8: Final unmodified SI ratios

 

D10

Table D10: Final season factors

 

D11

Table D11: Final seasonally adjusted series

 

D12

Table D12: Final trend cycle ” Henderson curve

 

D13

Table D13: Final irregular series

 

E1

Table E1: Original series modified for extremes

 

E2

Table E2: Modified seasonally adjusted series

 

E3

Table E3: Modified irregular series

 

E5

Table E5: Month-to-month changes in original series

 

E6

Table E6: Month-to-month changes in final seasonally adjusted series

 

F1

TableF1: MCD movingaverage

 

A13

Table A13: ARIMA forecasts

ARIMA statement

A14

Table A14: ARIMA backcasts

ARIMA statement

A15

Table A15: ARIMA extrapolation

ARIMA statement

B14

Table B14: Irregular values excluded from trading day regression

 

C14

Table C14: Irregular values excluded from trading day regression

 

D9

Table D9: Final replacement values

 

PriorDailyWgts

Adjusted prior daily weights

 

TDR_0

Final/preliminary trading day regression, part 1

MONTHLY only, TDREGR=ADJUST, TEST

TDR_1

Final/preliminary trading day regression, part 2

MONTHLY only, TDREGR=ADJUST, TEST

StandErrors

Standard errors of trading day adjustment factors

MONTHLY only, TDREGR=ADJUST, TEST

D9A

Year-to-year change in irregular and seasonal components and moving seasonality ratio

 

StableSeasTest

Stable seasonality test

MONTHLY only

StableSeasFTest

Stable seasonality test

MONTHLY only

f2a

F2 summary measures, part 1

 

f2b

F2 summary measures, part 2

 

f2c

F2 summary measures, part 3

 

f2d

I/C ratio for monthly/quarterly span

 

f2f

Average percent change with regard to sign and standard over span

 

E4

Differences or ratios of annual totals, original and adjusted series

 

ChartG1

Chart G1

 

ChartG2

Chart G2

 

ODS Tables Created by the ARIMA Statement

CriteriaSummary

Criteria summary

ARIMA statement

ConvergeSummary

Convergence summary

 

ArimaEst

ARIMA estimation results, part 1

 

ArimaEst2

ARIMA estimation results, part 2

 

Model_Summary

Model summary

 

Ljung_BoxQ

Table of Ljung-Box Q statistics

 

A13

Table A13: ARIMA forecasts

 

A14

Table A14: ARIMA backcasts

 

A15

Table A15: ARIMA extrapolation

 

ODS Tables Created by the SSPAN Statement

SPR0A_1

S 0.A sliding spans analysis, number, and length of spans

 

SpanDates

S 0.A sliding spans analysis: dates of spans

 

SPR0B

S 0.B summary of F-tests for stable and moving seasonality

 

SPR1_1

S 1.A range analysis of seasonal factors

 

SPR1_b

S 1.B summary of range measures

 

SPRXA

2XA.1 breakdown of differences by month or quarter

 

SPRXB_2

S X.B histogram of flagged observation

 

SPRXA_2

S X.A.2 breakdowns of differences by year

 

MpdStats

S X.C: Statistics for maximum percentage differences

 

S_X_A_3

S 2.X.3 breakdown summary of flagged observation

 

SPR7_X

S 7.X sliding spans analysis

PRINTALL

Table 10.94: ODS Table Names Produced by the X12 Procedure

Table Name

Description

A1

Original series

A2

Prior-adjustment factors

RegParameterEstimates

Regression model parameter estimates

ACF

Autocorrelation factors

PACF

Partial autorrelation factors

ARMAIterationTolerances

Exact ARMA likelihood estimation iteration tolerances

IterHistory

ARMA iteration history

ARMAIterationSummary

Exact ARMA likelihood estimation iteration summary

RegressorGroupChiSq

Chi-Squared tests for groups of regressors

ARMAParameterEstimates

Exact ARMA maximum likelihood estimation

AvgFcstErr

Average absolute percentage error in within(out) sample fore(back)casts

Roots

(Non)seasonal (AR)MA roots

MLESummary

Estimation summary

ForecastCL

Forecasts, standard errors, and confidence limits

MV1

Original series adjusted for missing value regressors

A6

RegARIMA trading day component

A8

RegARIMA combined outlier component

A8AO

RegARIMA AO outlier component

A8LS

RegARIMA level change outlier component

A8TC

RegARIMA temporary change outlier component

B1

Prior adjusted or original series

C17

Final weight for irregular components

C20

Final extreme value adjusted factors

D1

Modified original data, D iteration

D7

Preliminary trend cycle, D iteration

D8

Final unmodified S-I ratios

D8A

Seasonality tests

D9

Final replacement values for extreme S-I ratios

D9A

Moving seasonality ratio

D10

Final seasonal factors

D10D

Final seasonal difference

D11

Final seasonally adjusted series

D12

Final trend cycle

D13

Final irregular series

D16

Combined adjustment factors

D16B

Final adjustment differences

D18

Combined calendar adjustment factors

E4

Ratios of annual totals

E5

Percent changes in original series

E6

Percent changes in final seasonally adjusted series

E7

Differences in final trend cycle

F2A-I

Summary measures

F3

Quality assessment statistics

F4

Day of the week trading day component factors

G

Spectral analysis

Категории