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References: [ +subject:/^(?:^\s*(re|sv|fwd|fw)[\[\]\d]*[:>-]+\s*)*\[S\]\s+NonLinear\s+Least\s+Squares\s+Regression\s*$/: 2 ]

Total 2 documents matching your query.

1. [S] NonLinear Least Squares Regression (score: 1)
Author: "Suzanne Szak" <szak@ncbi.nlm.nih.gov>
Date: Thu, 21 Sep 2000 12:49:28 -0400
Hello All, I would greatly appreciate any help or input on the following: With the data shown below, I'm trying to find a least squares fit (using the function nls) using the formula: CV = sqrt(S^2/U
/archives/html/s-news/2000-09/msg00152.html (9,350 bytes)

2. Re: [S] NonLinear Least Squares Regression (score: 1)
Author: Douglas Bates <bates@stat.wisc.edu>
Date: 21 Sep 2000 12:34:59 -0500
So the contribution of F to the sum is on the order of 10^(-15), which gets lost in the roundoff. The error message indicates that the gradient matrix (derivative of the predicted response with respe
/archives/html/s-news/2000-09/msg00153.html (9,273 bytes)


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