Principal Component Regression with Semirandom Observations via Matrix Completion

Aditya Bhaskara, Aravinda Kanchana Ruwanpathirana, Maheshakya Wijewardena

Abstract: Principal Component Regression (PCR) is a popular method for prediction from data, and is one way to address the so-called multi-collinearity problem in regression. It was shown recently that algo...