EN
In the paper the procedure for selecting the best nonparametric model for a given problem of regression is presented. This procedure has two stages. In the first one, many nonparametric models of regression, for different parameters settings, are built. Then the model with the smallest mean squared error is chosen. In the second stage, the method for the reduction of insignificant predictors is used. This procedure is applied to modelling household savings.