# Fitting data with x and y errors

**URL:** <https://discourse.julialang.org/t/fitting-data-with-x-and-y-errors/23627>\
**Category:** New to Julia\
**Tags:** statistics, curve-fitting\
**Created:** [April 28, 2019, 8:38pm UTC](https://discourse.julialang.org/t/fitting-data-with-x-and-y-errors/23627 "2019-04-28T20:38:29Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![feanor12](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/feanor12/32/8212_2.png) [@feanor12](https://discourse.julialang.org/u/feanor12)\
**Post date:** [April 28, 2019, 8:38pm UTC](https://discourse.julialang.org/t/fitting-data-with-x-and-y-errors/23627/1 "2019-04-28T20:38:29Z")

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Is there a package for total least square regression, or a method which can be used to fit a function to data with errors in x and y?

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**Author:** ![baggepinnen](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/baggepinnen/32/693_2.png) [@baggepinnen](https://discourse.julialang.org/u/baggepinnen)\
**Post date:** [April 29, 2019, 10:42am UTC](https://discourse.julialang.org/t/fitting-data-with-x-and-y-errors/23627/2 "2019-04-29T10:42:15Z")

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Sure, check out  
[https://github.com/baggepinnen/TotalLeastSquares.jl](https://github.com/baggepinnen/TotalLeastSquares.jl)