Regresión escalonada

Selección de variables mediante regresión escalonada

Apps

	Train regression models to predict data using supervised machine learning
Alumno de regresión	Train regression models to predict data using supervised machine learning

LinearModel Modelo de regresión lineal

`stepwiselm`	Perform stepwise regression
`fitlm`	Ajustar modelo de regresión lineal
`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.