The TRANSREG Procedure
- Overview
-
Getting Started
-
Syntax
-
DetailsModel Statement UsageBox-Cox TransformationsUsing Splines and KnotsScoring Spline VariablesLinear and Nonlinear Regression FunctionsSimultaneously Fitting Two Regression FunctionsPenalized B-SplinesSmoothing SplinesSmoothing Splines Changes and EnhancementsIteration History Changes and EnhancementsANOVA CodingsMissing ValuesMissing Values, UNTIE, and Hypothesis TestsControlling the Number of IterationsUsing the REITERATE Algorithm OptionAvoiding Constant TransformationsConstant VariablesCharacter OPSCORE VariablesConvergence and DegeneraciesImplicit and Explicit InterceptsPassive ObservationsPoint ModelsRedundancy AnalysisOptimal ScalingOPSCORE, MONOTONE, UNTIE, and LINEAR TransformationsSPLINE and MSPLINE TransformationsSpecifying the Number of KnotsSPLINE, BSPLINE, and PSPLINE ComparisonsHypothesis TestsOutput Data SetOUTTEST= Output Data SetComputational ResourcesUnbalanced ANOVA without CLASS VariablesHypothesis Tests for Simple Univariate ModelsHypothesis Tests with Monotonicity ConstraintsHypothesis Tests with Dependent Variable TransformationsHypothesis Tests with One-Way ANOVAUsing the DESIGN Output OptionDiscrete Choice Experiments: DESIGN, NORESTORE, NOZEROCenteringDisplayed OutputODS Table NamesODS Graphics
-
Examples
- References
ODS Table Names
PROC TRANSREG assigns a name to each table it creates. You can use these names to reference the table when using the Output Delivery System (ODS) to select tables and create output data sets. These names are listed in Table 97.7. For more information about ODS, see Chapter 20: Using the Output Delivery System.
Table 97.7: ODS Tables Produced by PROC TRANSREG
|
ODS Table Name |
Description |
Statement & Option |
|---|---|---|
|
ANOVA |
ANOVA |
|
|
BoxCox |
Box-Cox transformation results |
MODEL, BOXCOX |
|
CANALS |
CANALS iteration history |
MODEL/PROC, METHOD=CANALS |
|
ClassLevels |
ANOVA |
|
|
Coef |
Regression results |
MODEL/PROC, SS2 |
|
ConservANOVA |
ANOVA, *1 |
|
|
ConservCoef |
Regression results, *1 |
MODEL/PROC, SS2 |
|
ConservFitStatistics |
Fit statistics, *1 |
|
|
ConservMVANOVA |
Multivariate ANOVA, *1, *2 |
|
|
ConservMVCoef |
Multivariate regression results, *1, *2 |
MODEL/PROC, SS2 |
|
ConservUtilities |
Conjoint analysis utilities, *1 |
MODEL/PROC, UTILITIES |
|
ConvergenceStatus |
Convergence status |
default |
|
Details |
Model Details |
MODEL/PROC, DETAIL |
|
Equation |
Linear dependency equation |
less-than-full-rank model |
|
FitStatistics |
Fit statistics like R square |
|
|
Footnotes |
Iteration history footnotes |
default |
|
Formula |
Fit plot formula (nonprinting) |
PROC, PLOTS=FIT(FORMULA) |
|
LiberalANOVA |
ANOVA, *1 |
|
|
LiberalCoef |
Regression results, *1 |
MODEL/PROC, SS2 |
|
LiberalFitStatistics |
Fit statistics, *1 |
|
|
LiberalMVANOVA |
Multivariate ANOVA, *1, *2 |
|
|
LiberalMVCoef |
Multivariate regression results, *1, *2 |
MODEL/PROC, SS2 |
|
LiberalUtilities |
Conjoint analysis utilities, *1 |
MODEL/PROC, UTILITIES |
|
MORALS |
MORALS iteration history |
MODEL/PROC, METHOD=MORALS |
|
MVANOVA |
Multivariate ANOVA, *2 |
|
|
MVCoef |
Multivariate regression results, *2 |
MODEL/PROC, SS2 |
|
NObs |
ANOVA |
|
|
PBSplineCriteria |
Penalized B-spline criteria (nonprinting) |
MODEL, PBSPLINE |
|
RSquare |
R square |
MODEL/PROC, RSQUARE |
|
Redundancy |
Redundancy iteration history |
MODEL/PROC, METHOD=REDUNDANCY |
|
SplineCoef |
Spline coefficients (nonprinting) |
|
|
TestIterations |
Hypothesis test iterations iteration history |
MODEL/PROC, SS2 |
|
Univariate |
Univariate iteration history |
MODEL/PROC, METHOD=UNIVARIATE |
|
Utilities |
Conjoint analysis utilities |
MODEL/PROC, UTILITIES |
*1. Liberal and conservative test tables are produced when a MONOTONE, UNTIE, or MSPLINE transformation is requested.
*2. Multivariate tables are produced when the dependent variable is iteratively transformed.