SAS/STAT 9.1 Users Guide, Volumes 1-7
The following statements are available in PROC TRANSREG.
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PROC TRANSREG < DATA= SAS-data-set >
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< OUTTEST= SAS-data-set >< a-options >< o-options > ;
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MODEL < transform(dependents < / t-options > )
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< transform(dependents < / t-options > )... > = >
transform(independents < / t-options > )
< transform(independents < / t-options > )... >< / a-options > ;
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OUTPUT < OUT= SAS-data-set >< o-options > ;
ID variables ;
FREQ variable ;
WEIGHT variable ;
BY variables ;
To use the TRANSREG procedure, you need the PROC TRANSREG and MODEL statements. To produce an OUT= output data set, the OUTPUT statement is required. PROC TRANSREG enables you to specify the same options in more than one statement. All of the MODEL statement a-options (algorithm options) and all of the OUTPUT statement o-options (output options) can also be specified in the PROC TRANSREG statement. You can abbreviate all a-options , o-options , and t-options (transformation options) to their first three letters . This is a special feature of the TRANSREG procedure and is not generally true of other SAS/STAT procedures. See Table 75.1 on page 4554.
| Task | Option | Statement |
|---|---|---|
| Identify input data set | ||
| specifies input SAS data set | DATA= | PROC |
| Output data set with test statistics | ||
| specifies output test statistics data set | OUTTEST= | PROC |
| Input data set | ||
| specifies input observation type | TYPE= | MODEL |
| restarts iterations | REITERATE | MODEL |
| Specify method and control iterations | ||
| specifies minimum criterion change | CCONVERGE= | MODEL |
| specifies minimum data change | CONVERGE= | MODEL |
| specifies canonical dummy -variable initialization | DUMMY | MODEL |
| specifies maximum number of iterations | MAXITER= | MODEL |
| specifies iterative algorithm | METHOD= | MODEL |
| specifies number of canonical variables | NCAN= | MODEL |
| specifies singularity criterion | SINGULAR= | MODEL |
| Control missing data handling | ||
| METHOD=MORALS fists each model individually | INDIVIDUAL | MODEL |
| includes monotone special missing values | MONOTONE= | MODEL |
| excludes observations with missing values | NOMISS | MODEL |
| unties special missing values | UNTIE= | MODEL |
| Control intercept and CLASS variables | ||
| CLASS dummy variable name prefix | CPREFIX= | MODEL |
| CLASS dummy variable label prefix | LPREFIX= | MODEL |
| no intercept or centering | NOINT | MODEL |
| order of class variable levels | ORDER= | MODEL |
| controls output of reference levels | REFERENCE= | MODEL |
| CLASS dummy variable label separators | SEPARATORS= | MODEL |
| Control displayed output | ||
| confidence limits alpha | ALPHA= | MODEL |
| displays parameter estimate confidence limits | CL | MODEL |
| displays model specification details | DETAIL | MODEL |
| displays iteration histories | HISTORY | MODEL |
| suppresses displayed output | NOPRINT | MODEL |
| suppresses the iteration histories | SHORT | MODEL |
| displays regression results | SS2 | MODEL |
| displays ANOVA table | TEST | MODEL |
| displays conjoint part-worth utilities | UTILITIES | MODEL |
| Control standardization | ||
| fits additive model | ADDITIVE | MODEL |
| do not zero constant variables | NOZEROCONSTANT | MODEL |
| specifies transformation standardization | TSTANDARD= | MODEL |
| Predicted values, residuals, scores | ||
| outputs canonical scores | CANONICAL | OUTPUT |
| outputs individual confidence limits | CLI | OUTPUT |
| outputs mean confidence limits | CLM | OUTPUT |
| specifies design matrix coding | DESIGN= | OUTPUT |
| outputs leverage | LEVERAGE | OUTPUT |
| does not restore missing values | NORESTOREMISSING | OUTPUT |
| suppresses output of scores | NOSCORES | OUTPUT |
| outputs predicted values | PREDICTED | OUTPUT |
| outputs redundancy variables | REDUNDANCY= | OUTPUT |
| outputs residuals | RESIDUALS | OUTPUT |
| Output data set replacement | ||
| replaces dependent variables | DREPLACE | OUTPUT |
| replaces independent variables | IREPLACE | OUTPUT |
| replaces all variables | REPLACE | OUTPUT |
| Output data set coefficients | ||
| outputs coefficients | COEFFICIENTS | OUTPUT |
| outputs ideal point coordinates | COORDINATES | OUTPUT |
| outputs marginal means | MEANS | OUTPUT |
| outputs redundancy analysis coefficients | MREDUNDANCY | OUTPUT |
| Output data set variable name prefixes | ||
| dependent variable approximations | ADPREFIX= | OUTPUT |
| independent variable approximations | AIPREFIX= | OUTPUT |
| canonical dependent variables | CDPREFIX= | OUTPUT |
| conservative individual lower CL | CILPREFIX= | OUTPUT |
| canonical independent variables | CIPREFIX= | OUTPUT |
| conservative-individual-upper CL | CIUPREFIX= | OUTPUT |
| conservative-mean-lower CL | CMLPREFIX= | OUTPUT |
| conservative-mean-upper CL | CMUPREFIX= | OUTPUT |
| METHOD=MORALS untransformed dependent | DEPENDENT= | OUTPUT |
| liberal -individual-lower CL | LILPREFIX= | OUTPUT |
| liberal-individual-upper CL | LIUPREFIX= | OUTPUT |
| liberal-mean-lower CL | LMLPREFIX= | OUTPUT |
| liberal-mean-upper CL | LMUPREFIX= | OUTPUT |
| residuals | RDPREFIX= | OUTPUT |
| predicted values | PPREFIX= | OUTPUT |
| redundancy variables | RPREFIX= | OUTPUT |
| transformed dependents | TDPREFIX= | OUTPUT |
| transformed independents | TIPREFIX= | OUTPUT |
| Output data set macros | ||
| creates macro variables | MACRO | OUTPUT |
| Output data set details | ||
| dependent and independent approximations | APPROXIMATIONS | OUTPUT |
| canonical correlation coefficients | CCC | OUTPUT |
| canonical elliptical point coordinate | CEC | OUTPUT |
| canonical point coordinates | CPC | OUTPUT |
| canonical quadratic point coordinates | CQC | OUTPUT |
| approximations to transformed dependents | DAPPROXIMATIONS | OUTPUT |
| approximations to transformed independents | IAPPROXIMATIONS | OUTPUT |
| elliptical point coordinates | MEC | OUTPUT |
| point coordinates | MPC | OUTPUT |
| quadratic point coordinates | MQC | OUTPUT |
| multiple regression coefficients | MRC | OUTPUT |
The rest of this section provides detailed syntax information for each of the preceding statements, beginning with the PROC TRANSREG statement. The remaining statements are described in alphabetical order.