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Mixture Regression Modeling
Introduction
Mixture regression modeling (Ding, 2006) is appropriate when you have a regression
model that is incorrect for an entire population, but where the population can be
divided into subgroups in such a way that the regression model is correct in each
subgroup.
About the Data
Two artificial datasets will be used to explain mixture regression.
First Dataset
The following dataset is in the file DosageAndPerformance1.sav. Dosage is the
intensity of some treatment. Performance is just some performance measure. Group
is a string (non-numeric) variable whose role in mixture regression analysis will be
explained later.