Stepwise Regression

Variable selection using stepwise regression

Apps

Train regression models to predict data using supervised machine learning

LinearModel Linear regression model

`stepwiselm`	Perform stepwise regression
`fitlm`	Fit linear regression model
`addTerms`	Add terms to linear regression model
`removeTerms`	Remove terms from linear regression model
`step`	Improve linear regression model by adding or removing terms

`stepwise`	Interactive stepwise regression
`stepwisefit`	Fit linear regression model using stepwise regression

plotPartialDependence Create partial dependence plot (PDP) and individual conditional expectation (ICE) plots

In stepwise regression, predictors are automatically added to or trimmed from a model.

Construct and analyze a linear regression model with interaction effects and interpret the results.

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