While linear minimum estimation (OLS) analysis remains a cornerstone in statistical assessment, its premises aren't always satisfied. Consequently, considering substitutes becomes vital, especially when dealing with complex relationships or disregarding key requirements such as typicality, constant variance, or autonomy of remnants. Possibly 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