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 ...

The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to ...

This note discusses a problem that might occur when forward stepwise regression is used for variable selection and among the candidate variables is a categorical variable with more than two categories ...

Regression Analysis comes in a variety of ‘flavours’ each best suited for a particular situation, e.g. Linear Regression, Stepwise Regression, Ridge Regression.