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Timeline for Algorithm used by Fit[]

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Jun 4, 2022 at 18:00 history tweeted twitter.com/StackMma/status/1533146572858466305
Apr 13, 2017 at 12:55 history edited CommunityBot
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Mar 9, 2016 at 1:08 comment added Adam J. M., thanks for the advice. My abscissa are not equally spaced so I'll try Chebyshev and/or Legendre.
Mar 9, 2016 at 0:54 comment added J. M.'s missing motivation You could consider using Gram polynomials if your abscissas are equispaced; otherwise, the Chebyshev or Legendre basis can be used.
Mar 9, 2016 at 0:23 comment added Adam J. M. and Daniel, thanks. Daniel, maybe Legendre Polynomials? Interesting that IDL's svdfit() function and Mathematica's Fit[] function give very different results using SVD. I suppose the devil is in the details.
S Mar 8, 2016 at 23:42 history suggested user31159 CC BY-SA 3.0
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Mar 8, 2016 at 23:30 comment added Daniel Lichtblau Almost certainly using SVD as @J.M. notes. For fitting degree 15 polynomials though you might want to consider a basis other than the standard one (1,x,x^2,...) to get better numeric stability.
Mar 8, 2016 at 23:22 comment added J. M.'s missing motivation Yes, it uses SVD under the hood.
Mar 8, 2016 at 23:16 comment added Michael E2 Welcome to Mathematica.SE! I suggest the following: 1) As you receive help, try to give it too, by answering questions in your area of expertise. 2) Take the tour! 3) When you see good questions and answers, vote them up by clicking the gray triangles, because the credibility of the system is based on the reputation gained by users sharing their knowledge. Also, please remember to accept the answer, if any, that solves your problem, by clicking the checkmark sign!
Mar 8, 2016 at 23:16 review Suggested edits
S Mar 8, 2016 at 23:42
Mar 8, 2016 at 23:15 review First posts
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Mar 8, 2016 at 23:14 history edited J. M.'s missing motivation CC BY-SA 3.0
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Mar 8, 2016 at 23:12 history asked Adam CC BY-SA 3.0