While standard least methodology (OLS) modeling remains a cornerstone in predictive evaluation, its premises aren't always satisfied. Consequently, considering substitutes becomes vital, especially when handling with non-linear connections or breaching key requirements such as typicality, homoscedasticity, or independence of errors. Perhaps you're

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