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# GlobalSearchRegression [![Build Status](https://travis-ci.org/ParallelGSReg/GlobalSearchRegression.jl.svg?branch=master)](https://travis-ci.org/ParallelGSReg/GlobalSearchRegression.jl) [![codecov](https://codecov.io/gh/ParallelGSReg/GlobalSearchRegression.jl/branch/master/graph/badge.svg)](https://codecov.io/gh/ParallelGSReg/GlobalSearchRegression.jl) [![](https://img.shields.io/badge/docs-latest-blue.svg)](https://parallelgsreg.github.io/GlobalSearchRegression.jl/) [![DOI](https://zenodo.org/badge/127349945.svg)](https://zenodo.org/badge/latestdoi/127349945)
# GlobalSearchRegression v1.0.9 [![Build Status](https://travis-ci.org/ParallelGSReg/GlobalSearchRegression.jl.svg?branch=master)](https://travis-ci.org/ParallelGSReg/GlobalSearchRegression.jl) [![codecov](https://codecov.io/gh/ParallelGSReg/GlobalSearchRegression.jl/branch/master/graph/badge.svg)](https://codecov.io/gh/ParallelGSReg/GlobalSearchRegression.jl) [![](https://img.shields.io/badge/docs-latest-blue.svg)](https://parallelgsreg.github.io/GlobalSearchRegression.jl/) [![DOI](https://zenodo.org/badge/127349945.svg)](https://zenodo.org/badge/latestdoi/127349945)

## Abstract
GlobalSearchRegression is both the world-fastest all-subset-regression command (a widespread tool for automatic model/feature selection) and a first-step to develop a coherent framework to [merge](http://web.stanford.edu/class/ee380/Abstracts/140129-slides-Machine-Learning-and-Econometrics.pdf) Machine Learning and Econometric algorithms.
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