The new least squares ratio method is better than the traditional OLS method when errors in a regression model are not the same size. It works especially well with moderate to severe differences in error sizes and when the error sizes are bigger. For smaller differences in error sizes and smaller sample sizes, the new method is also more efficient. So, if errors in a regression model are not all the same, it's recommended to use the least squares ratio method for better results.