One of the assumptions of simple linear regression is that the standard deviation of the error term is constant. Nevertheless, as studies have repeatedly observed, this assumption does not hold for alchemical transformations . In this case, a weighted least squares model can maximize the efficiency of 𝚫 Ĝ estimation (see Background). Without weights, transformations that are difficult to perform accurately would exert more influence than ideal on the regression.