| Summary: | Background. The paper proposes a method for constructing a linear convolution
of criteria for the adequacy of regression equations based on information generated
during the competition of models. Cases of compatibility and inconsistency of the system
of inequalities generated by this information are considered. In the first of them, it is proposed
to search for a PC-solution of this system, which maximizes its resolution, and in the
second, to determine a quasi-solution of the system that minimizes the indicated inconsistency.
Materials and methods. To achieve the goal, an apparatus for solving linear programming
problems with mixed constraints is involved. Results. As a result of solving the
formed linear programming problems, the coefficients of the linear convolution of the partial
criteria for the adequacy of the regression model are estimated based on the individual
preferences of the researcher regarding the comparative significance of these criteria.
Conclusions. The constructed convolution of criteria is based on the individual preferences
of the researcher regarding the comparative significance of these criteria and can be repeatedly
used by him when constructing models of other objects.
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