- 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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