JMP 14.0 Online Documentation (English)
Discovering JMP
Using JMP
Basic Analysis
Essential Graphing
Profilers
Design of Experiments Guide
Fitting Linear Models
Predictive and Specialized Modeling
Multivariate Methods
Quality and Process Methods
Reliability and Survival Methods
Consumer Research
Scripting Guide
JSL Syntax Reference
JMP iPad Help
JMP Interactive HTML
Capabilities Index
JMP 13 Online Documentation
JMP 12 Online Documentation
Fitting Linear Models •
Stepwise Regression Models
• The All Possible Models Option
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The All Possible Models Option
Use the All Possible Models option to investigate all models that can be constructed using your predictors. This option is accessed from the red triangle menu next to Stepwise.
Note the following:
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This option is not practical for large problems, when the number of models is greater than 5 million.
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Categorical predictors are represented by indicator variables. See
Models with Nominal and Ordinal Effects
.
The following options restrict the number of models that appear:
Maximum number of terms in a model
Enter a value for the maximum number of terms in a model.
Number of best models to see
Enter the maximum number of models of each size to display. The best models according to RSquare value appear.
Restrict to models where interactions imply lower order effects (Heredity Restriction)
Shows only models that contain all lower-order effects when a higher-order effect is included. These models satisfy strong effect heredity. This option is useful when your predictors include interaction or polynomial terms.
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Help created on 7/12/2018