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
using stepwise regression.
|Create generalized linear regression model by stepwise regression|
|Create generalized linear regression model|
|Add terms to generalized linear regression model|
|Remove terms from generalized linear regression model|
|Improve generalized linear regression model by adding or removing terms|
|Generalized linear regression model class|
- Wilkinson Notation
Wilkinson notation provides a way to describe regression and repeated measures models without specifying coefficient values.