The article discusses a method for fitting a model that accounts for differences in variance in a Normal error model. Previous studies used linear models to represent the variance function, but this research introduces a non-parametric approach using a single explanatory variable. This new method allows for more robust fitting of the model, improving the accuracy of statistical analyses.