We introduce a fast stepwise regression method, called the orthogonal greedy algorithm (OGA), that selects input variables to enter a p-dimensional linear regression model (with p ≫ n, the sample size ...

In this video, we will implement Multiple Linear Regression in Python from Scratch on a Real World House Price dataset. We will not use built-in model, but we will make our own model. This can be a ...

Journal of the Royal Statistical Society. Series B (Statistical Methodology), Vol. 71, No. 1 (Jan., 2009), pp. 287-299 (13 pages) The family of inverse regression estimators that was recently proposed ...