While standard least estimation (OLS) regression remains a cornerstone here in statistical assessment, its requirements aren't always satisfied. Therefore, considering options becomes vital, especially when handling with curvilinear relationships or violating key assumptions such as normality, equal dispersion, or freedom of errors. Maybe you're en

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