While standard simple squares (OLS) regression remains a workhorse in statistical assessment, its premises aren't always met. Therefore, exploring substitutes becomes critical, especially when handling with complex patterns or breaching key requirements such as average distribution, homoscedasticity, or independence of remnants. Maybe you're experi

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