Abstract There a number of interesting variable selection methods available beside the regular forward selection and stepwise selection methods. Such approaches include LASSO (Least Absolute Shrinkage and Selection Operator), least angle regression (

稀疏投影保持降维算法，用于高维度数据降维分类和回归的算法-Projections remain sparse dimension reduction algorithm for high-dimensional data dimensionality reduction classification and regression algorithm