While linear minimum methodology (OLS) modeling remains a cornerstone in statistical evaluation, its premises aren't always met. Consequently, exploring alternatives becomes vital, especially when dealing with curvilinear patterns or violating key premises such as typicality, constant variance, or freedom of remnants. Perhaps you're experiencing va

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While Ordinary Least Squares (OLS) remains a fundamental technique in linear regression, its limitations sometimes necessitate the exploration of more sophisticated methods. Advanced regression techniques offer enhanced predictive abilities, mitigating complex relationships and non-linear patterns within data. These methods include a diverse spectr

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