 Least-angle regression

In statistics, least-angle regression (LARS) is an algorithm for fitting linear regression models to high-dimensional data, developed by Bradley Efron, Trevor Hastie, Iain Johnstone and Robert Tibshirani.Suppose we expect a response variable to be determined by a linear combination of a subset of potential covariates.