Models of data with a categorical response are called classifiers. A classifier is built from training data, for which classifications are known. The classifier assigns new test data to one of the categorical levels of the response.
Parametric methods, like Discriminant Analysis, fit a parametric model to the training data and interpolate to classify test data.
Nonparametric methods, like classification and regression trees, use other means to determine classifications.