Hi,

I am looking for an more automated way to fit functions of the form
y~a*x^b+c

to given data, for example

x<-c(0.36,0.63,0.90,1.166,1.43, 1.70, 1.96, 2.23)
y<-c(9.0,9.62,10.11,10.53,10.9, 11.25, 11.56, 11.86)

I tried for example with nls, which did only work with really good initial guessed values.
The idea is to use a function, which would not require to guess c in order to linearize the equation.

Thanks a lot
Thomas




---------------------------------
Thomas Bschorr

Department of Physics
Institute of Astronomy
ETH Zurich
Wolfgang-Pauli-Strasse 27, HIT J 11.3
CH-8093 Zürich
Switzerland

E-mail: bschorr@phys.ethz.ch
Phone: +41 (0)44 633-6684
Fax: +41 (0)44 633-1238
Web: http://www.exp-astro.phys.ethz.ch <http://www.exp-astro.phys.ethz.ch/>


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