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Stepwise Regression

Variable selection in generalized linear model using stepwise regression

Stepwise regression is a dimensionality reduction method in which less important predictor variables are successively removed in an automatic iterative process. The stepwiseglm function creates a GeneralizedLinearModel object using stepwise regression.

Functions

stepwiseglmCreate generalized linear regression model by stepwise regression
fitglmCreate generalized linear regression model
addTermsAdd terms to generalized linear regression model
removeTermsRemove terms from generalized linear regression model
stepImprove generalized linear regression model by adding or removing terms

Objects

GeneralizedLinearModelGeneralized linear regression model class

Topics

  • Wilkinson Notation

    Wilkinson notation provides a way to describe regression and repeated measures models without specifying coefficient values.