Introduction to Logistic Models
Logistic regression fits nominal Y responses to a linear model of X terms. To be more precise, it fits probabilities for the response levels using a logistic function. For two response levels, the function is:

or equivalently:

For r nominal responses, where
, it fits sets of linear model parameters of the following form:

The fitting principal ...
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