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standard errors for orthogonal linear regression

2 messages · davidr@rhotrading.com, Roger Koenker

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Could someone please help me by giving me a reference to how one computes standard errors for the coefficients in an orthogonal linear regression, or perhaps someone has some R code? (I would accept a derivation or formula, but as a former teacher, I know how that can rankle.) I tried to imitate what's done in the code for lm() but went astray somewhere and got nonsense.

(This type of modeling goes by several names: total least squares, errors in variables, orthogonal distance regression (ODR), depending on where you are coming from.)

I have found ODRpack, but I haven't yet plowed through the Fortran to see if what I need is there; I'm working on it....
Thanks!

David L. Reiner
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Rho Trading
440 S. LaSalle St -- Suite 620
Chicago?? IL?? 60605
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312-362-4963 (voice)
312-362-4941 (fax)
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Wayne Fuller's Measurement Error Models is a good reference.

url:    www.econ.uiuc.edu/~roger                Roger Koenker
email   rkoenker at uiuc.edu                       Department of Economics
vox:    217-333-4558                            University of Illinois
fax:    217-244-6678                            Champaign, IL 61820
On Apr 28, 2005, at 1:19 PM, <davidr at rhotrading.com> wrote: