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In Chapter 12 we discussed the modeling and fitting of a logistic regression equation with a dependent variable with three or more ordered categories. In this chapter we discuss the modelling and fitting of a logistic regression equation with a multi-categorical dependent variable, but here the dependent variable will have response categories that are not ordered, that is, they are nominal. The most frequently used method for estimating a nominal categorical dependent variable is the multinomial logistic regression model, the subject of this chapter. This model is a natural extension of logistic regression for a binary dependent variable.
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