A step-by-step manual implementation of multiple linear regression in R using matrix algebra — comparing Ordinary Least Squares (OLS) and Maximum Likelihood Estimation (MLE), complete with multicollinearity, linearity, and residual diagnostic tests (normality, homoscedasticity, autocorrelation). Built without lm() or external regression packages.