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Given the dependent variable observed on a nominal scale with multiple categories (i.e. >=2), e.g.,the dependent variable identifies a category, such as Blue, Green, or Yellow, we want to build a multi-equation regression model based on several independent variables (each of which can be continuous or binary) that will predict, based on explanatory variables, the probability that the dependent variable takes on a particular category.