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The TRANSREG Procedure
Overview
Getting Started
Fitting a Curve through a Scatter Plot
Main-Effects ANOVA
Syntax
PROC TRANSREG Statement
BY Statement
FREQ Statement
ID Statement
MODEL Statement
OUTPUT Statement
WEIGHT Statement
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
Examples
Transformation Regression of Exhaust Emissions Data
Box-Cox Transformations
Penalized B-Spline
Nonmetric Conjoint Analysis of Tire Data
Metric Conjoint Analysis of Tire Data
Preference Mapping of Automobile Data
References
Details: TRANSREG Procedure
Subsections:
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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