Logistic regression is a powerful technique for fitting models to data with a binary response variable, but the models are difficult to interpret if collinearity, nonlinearity, or interactions are ...

This paper focuses on the issue of multicollinearity in family studies research. A technique called ridge regression is presented as a method for analyzing models containing multicollinearity.

The GLM procedure fits general linear models to data, and it can perform regression, analysis of variance, analysis of covariance, and many other analyses. The following features for regression ...