Regression assessment of the model based on the experimental planning matrix in composite materials’ analysis problems

An automated coefficients calculation of the regression model based on experimental data in form a planning matrix is considered. The calculations are polynomial with possible consideration interaction effects between its factors. application Moore – Penrose pseudoinverse for determining equation shown. choice calculated carried out taking into account determination coefficient value and factors’ rank. Calculation verification using rank correlation response functions. part work given to determine dependence fungal resistance fungicidal properties filled cement composites type grain size composition filler.