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## Re: leasqr question

**From**: |
Dirk Eddelbuettel |

**Subject**: |
Re: leasqr question |

**Date**: |
Fri, 06 Sep 2002 08:12:58 -0500 |

>* I don't agree. No matter how the regression is accomplished (linear,*
>* nonlinear, least squares, random guesses, goat entrails), the geometry*
>* should work just fine. You have a set of observed values and a*
Yes, you can always /compute/ the same statistic, it merely doesn't
have the same statistical properties -- the "restricted" model (of
variation around the mean) is no longer nested within the "unrestricted"
model (the a nonlinear model just fitted), so that the resulting R2
could for example be negative. It just doesn't apply in the same
/statistical/ sense, which is why few (if any ?) packages compute it,
even though as you point out, it can easily be done.
Dirk
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**leasqr question**, *Tom Kornack*, `2002/09/05`
**Re: leasqr question**,
*Dirk Eddelbuettel* **<=**