About the Generalized Linear Models Task

The Generalized Linear Models task is a high-performance task that provides model fitting and model building for generalized linear models. The task fits models for standard distributions such as Normal, Poisson, and Tweedie in the exponential family. This task also fits multinomial models for ordinal and nominal responses and provides forward, backward, and stepwise selection methods.