Compared to OLS, WLS offers superior performance in scenarios with heteroscedastic data. However, it is not the only method available. Alternatives such as Generalized Least Squares (GLS) and robust regression methods can also be employed to handle non-constant variance. GLS takes into account correlations between observations in addition to heteroscedasticity, while robust regression methods down-weight outliers rather than modeling variance explicitly.
