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.