Linear weights can be calculated using various statistical techniques, such as regression analysis. In a regression model, coefficients are estimated for each predictor variable, and these coefficients can be interpreted as linear weights. The process often involves standardizing variables to ensure comparability and applying algorithms to optimize the fit of the model.
