nonlinearmodelfit problem

*To*: mathgroup at smc.vnet.net*Subject*: [mg125974] nonlinearmodelfit problem*From*: "L. Mattera" <mattera at fisica.unige.it>*Date*: Wed, 11 Apr 2012 18:15:18 -0400 (EDT)*Delivered-to*: l-mathgroup@mail-archive0.wolfram.com

Hi my name is Lorenzo Mattera, I am using since a short time Mathematica. I am trying to solve a fitting problem where two sets of data have to be fitted by two models depending on the same parameters. I found very helpful the suggestions reported at http://forums.wolfram.com/mathgroup/archive/2011/Sep/msg00555.html (and references therein) so that I was able to produce a working procedure. However, I have a "small" problem: the two set of data have quite different weights as one is in the 0-100000 range while the other is in the 0-1 range so that one of the two is irrelevant in the fitting procedure. It seems to me that NonlinearModelFit minimizes the sum of the squared residuals, any way to minimize the squared normalized residuals? Perhaps is one of the options, but so far I could not find it. Tank you for the help best regards L. Mattera

**Follow-Ups**:**Re: nonlinearmodelfit problem***From:*Darren Glosemeyer <darreng@wolfram.com>