While ordinary least squares (OLS) regression remains a staple in predictive assessment, its requirements aren't always satisfied. As a result, considering alternatives becomes vital, especially when confronting with non-linear patterns or breaching key assumptions such as average distribution, homoscedasticity, or freedom 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