Re: nonlinearmodelfit problem

*To*: mathgroup at smc.vnet.net*Subject*: [mg126096] Re: nonlinearmodelfit problem*From*: "M.Roellig" <markus.roellig at googlemail.com>*Date*: Tue, 17 Apr 2012 06:02:49 -0400 (EDT)*Delivered-to*: l-mathgroup@mail-archive0.wolfram.com*References*: <jm4vr2$2j0$1@smc.vnet.net>

On Thursday, April 12, 2012 12:16:02 AM UTC+2, L. Mattera wrote: > 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 Hi, you could try to fit in the logarithmic domain. Markus

**Follow-Ups**:**Re: nonlinearmodelfit problem***From:*"Dan O'Brien" <danobrie@gmail.com>