The TRANSREG Procedure
- Overview
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Getting Started
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Syntax
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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
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Examples
- 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