While ordinary minimum squares (OLS) modeling remains a cornerstone in predictive assessment, its premises aren't always satisfied. Therefore, investigating substitutes becomes critical, especially when confronting with complex connections or breaching key premises such as typicality, homoscedasticity, or autonomy of residuals. Perhaps you're exper

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