Efficient way of doing linear regression

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If anyone is interested, i have implemented a faster and also numerically stable method for underdetermined linear systems in this post:

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Just to mention that I wrote a simple package to do what I was searching for when I found this thread, which was a very simple interface to do simple fits of 2D data:

https://github.com/m3g/EasyFit

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I also needed basic linear regression, a bit beyond X \ y, and didn’t want the full GLM dependency chain, so I tried to incorporate the various suggestions from this thread in a very simple, minimal-dependency package, see https://github.com/st--/LinearRegression.jl - in case anyone else who stumbles across this thread may find it useful!

I also put links to various packages for more fancy versions of linear regression (generalized, ridge, sparse, bayesian, online, …) into the readme.:slight_smile:

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great stuff, I just walked the same path

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