While ordinary simple squares (OLS) regression remains a cornerstone in predictive assessment, its assumptions aren't always satisfied. Therefore, investigating substitutes becomes critical, especially when confronting with non-linear patterns or violating key requirements such as typicality, homoscedasticity, or freedom of errors. Perhaps you're f

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