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 ...

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 ...

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

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