While ordinary minimum methodology (OLS) analysis remains a workhorse in data evaluation, its premises aren't always satisfied. Consequently, considering options becomes vital, especially when dealing with non-linear patterns or breaching key requirements such as normality, constant variance, or independence of errors. Perhaps you're experiencing u

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