The work is devoted to generation of the regression equation based on the obtained experimental data for the electrodeposition process of FeS thin films. Here, the objects of regression studies are multifactorial dependencies obtained in order to determine the optimal electrolysis mode and electrolyte composition for the synthesis of thin films by the electrochemical method. Samples were obtained by potentiostatic and galvanostatic methods under various conditions on Ni substrates. Mathematical calculations were performed in a software package using software specially developed for this process. A statistical analysis of the obtained regression equation was carried out, the average approximation error was calculated, and the standard deviation was estimated. Fisher's criteria were calculated and regression coefficients were estimated to evaluate the constructed multiple regression equation. The obtained regression equation makes it possible to determine the composition of the selected electrolyte and the conditions of the electrolysis mode for this process.

doi.org/10.32737/0005-2531-2026-1-56-63