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
Details: TRANSREG Procedure
- 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