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 first step in conducting a regression-based study is to specify a model. In real applications, this is usually the most challenging step - deciding which variables “belong” in the model and which ...

Overview Regression explains how changes in one factor influence another with clarity.Each regression type is suited for ...

(A) The pipeline for Multiple Stepwise Regression approach for predicting metabolite concentrations utilizing reflectance spectroscopy with a quintuple-phase methodology: acquisition of original ...