B02: Improving Predictive Power with Pre-Tuned Principal Component Regression: A Case Study

Linear regression is a commonly used approach to discovering associations between variables in various fields. Least squares method is a prominent approach to estimating unknown regression coefficients, with ordinary least square (OLS) estimates being the best linear unbiased estimate (BLUE). The existence of the inverse of the gram matrix in OLS is essential for obtaining […]

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