Diagnosis of process described by large tables of experimental data

A method is proposed for diagnosis of processes whose features are measured in different scales and represented as large tables of experimental data, the objective being to determine the values of the goal feature. The method is illustrated by forecasting the minimal temperature of a 24-hour period.