While linear minimum squares (OLS) analysis remains a cornerstone in data evaluation, its requirements aren't always satisfied. As a result, exploring substitutes becomes essential, especially when confronting with curvilinear connections or disregarding key requirements such as typicality, equal dispersion, or independence of errors. Possibly you'

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