Abstract: The article considers a software package that provides the ability to estimate the parameters of a linear regression
equation using mixed estimation (MSO), least squares (OLS) and modules (MCM), as well as anti-blast estimation (MAO). The
developed software package was used to model the volume of loading of the main types of cargo by rail, and the competing types of
transportation in relation to rail transportation were selected as independent variables. These are such factors as transportation by
road, transportation by sea, transportation by pipeline, transportation by inland water transport. The analysis of the obtained models is
carried out, the bias criteria, the relative approximation errors, and the generalized behavior consistency criterion (RSPC) are
Index terms: Linear regression, mixed estimation method, least modules method, anti-robust estimation, software package.