Abstract High-dimensional linear regression model is the most popular statistical model for high-dimensional data. but it is quite a challenging task to achieve a sparse set of regression coefficients. In this paper. we propose a simple heuristic algorithm to construct sparse high-dimensional linear regression models. https://www.southernrootwork.com/product-category/vacuum/