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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

Getting Started: TRANSREG Procedure

Subsections:

Fitting a Curve through a Scatter Plot
Main-Effects ANOVA

This section provides several examples that illustrate a few of the more basic features of PROC TRANSREG.

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