Linear regression remains a fundamental tool in data analysis. However, for increasingly complex datasets, the limitations of ordinary least squares (OLS) manifest. Advanced regression techniques offer powerful alternatives, enabling analysts to represent complex relationships and handle data heterogeneity. This exploration delves into a selection

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