Linear regression forecasting is a time-series method that uses basic statistics to project future values for a target variable.

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 ...

David Griffiths, Sampling Effort, Regression Method, and the Shape and Slope of Size-Abundance Relations, Journal of Animal Ecology, Vol. 67, No. 5 (Sep., 1998), pp ...