The TRANSREG Procedure
- Overview
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Getting Started
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Syntax
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Details
Model Statement Usage Box-Cox Transformations Using Splines and Knots Scoring Spline Variables Linear and Nonlinear Regression Functions Simultaneously Fitting Two Regression Functions Penalized B-Splines Smoothing Splines Smoothing Splines Changes and Enhancements Iteration History Changes and Enhancements ANOVA Codings Missing Values Missing Values, UNTIE, and Hypothesis Tests Controlling the Number of Iterations Using the REITERATE Algorithm Option Avoiding Constant Transformations Constant Variables Character OPSCORE Variables Convergence and Degeneracies Implicit and Explicit Intercepts Passive Observations Point Models Redundancy Analysis Optimal Scaling OPSCORE, MONOTONE, UNTIE, and LINEAR Transformations SPLINE and MSPLINE Transformations Specifying the Number of Knots SPLINE, BSPLINE, and PSPLINE Comparisons Hypothesis Tests Output Data Set OUTTEST= Output Data Set Computational Resources Unbalanced ANOVA without CLASS Variables Hypothesis Tests for Simple Univariate Models Hypothesis Tests with Monotonicity Constraints Hypothesis Tests with Dependent Variable Transformations Hypothesis Tests with One-Way ANOVA Using the DESIGN Output Option Discrete Choice Experiments: DESIGN, NORESTORE, NOZERO Centering Displayed Output ODS Table Names ODS Graphics
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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 93.7. For more information about ODS, see Chapter 20, Using the Output Delivery System.
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 |
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.