De-floored Principal Component Regression: When Rank Selection Alone Is Insufficient for Prediction

Peng Zhao

Principal component regression (PCR) regularizes high-dimensional prediction by choosing a spectral cutoff, but rank selection cannot correct systematic inflation of the retained e…