# Multicollinearity and GLM

**URL:** <https://discourse.julialang.org/t/multicollinearity-and-glm/71340>\
**Category:** Statistics\
**Tags:** glm\
**Created:** [November 11, 2021, 5:25pm UTC](https://discourse.julialang.org/t/multicollinearity-and-glm/71340 "2021-11-11T17:25:25Z")\
**Posts on this page:** 1\
**Showing post:** 5

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**Author:** ![mcreel](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/mcreel/32/30088_2.png) [@mcreel](https://discourse.julialang.org/u/mcreel)\
**Post date:** [November 11, 2021, 7:42pm UTC](https://discourse.julialang.org/t/multicollinearity-and-glm/71340/5 "2021-11-11T19:42:46Z")

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[https://github.com/ericqu/LinearRegression.jl](https://github.com/ericqu/LinearRegression.jl) has a test for collinearity built in. Collinearity in linear regression models means that the coefficients will be estimated imprecisely. If the priors counter the particular imprecision, then Bayesian methods will help. But, if the priors don’t add information in the dimensions where it’s lacking, they won’t help much.

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