(For a layman’s introduction,see here.) Least Angle Regression (aka LARS) is a model selection method for linear regression (when you’re worried approximately overfitting or want your model to be easily interpretable). To motivate it, let’s consider some other model selection methods: Forward selection starts with no …
Source: echen.me