A wide range of methods for constructing statistical models of classification and regression for the response presented in the alternative, categorical and metric scales of observations is described. Decision trees, support vector machines with different separating surfaces, nonlinear forms of discriminant analysis, artificial neural networks, etc. are considered in detail.