Generalized Linear Models (or GLMs) extend the ordinary regression framework
to situations where the observations of the response variate do not follow a
Normal distribution, or where a transformation needs to be applied before a
linear model can be fitted. The Generalized Linear Models
menu can be used to fit a range of models including log-linear models and logistric
regression. In addition there are menus for ordinal regression and all subset
regression.
Generalized Linear Models menu
The following range of models can be fitted using the Generalized Linear Models
menu. Note that the General Model can be used a fit a wide range of models by
specifying a model formula, distribution and link function.