While linear minimum estimation (OLS) modeling remains a workhorse in statistical evaluation, its premises aren't always met. Therefore, considering substitutes becomes critical, especially when dealing with non-linear patterns or breaching key requirements such as normality, constant variance, or autonomy of residuals. Perhaps you're facing unequa

While Ordinary Least Squares (OLS) remains a foundational technique/method/approach in regression analysis, its limitations sometimes/frequently/occasionally necessitate the exploration/consideration/utilization of alternative methods. These alternatives often/may/can provide improved/enhanced/superior accuracy/fit/performance for diverse/varied/un