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

`stepwiseglm`	Create generalized linear regression model by stepwise regression
`fitglm`	Create generalized linear regression model
`addTerms`	Add terms to generalized linear regression model
`removeTerms`	Remove terms from generalized linear regression model
`step`	Improve generalized linear regression model by adding or removing terms

Objects

GeneralizedLinearModel Generalized linear regression model class

Topics

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