root for regression

From: Christian Kaiser (gt-ck@ipt.rwth-aachen.de)
Date: Mon Dec 06 1999 - 11:23:02 MET


Hi,
I have to perform a regression to experimental data, which is presented in a
number of vectors of dimensionality five (x1,x2,x3,x4,x5,x6). This data should
be approximated by a function of the form

 x6=a * x1^b * x2^c * x3^d * x4^e * x5^f  + g*x1^h.... and so on

with parameters (a,b,c ...). The problem is, that fitting with an algorithm like
finding the steepest gradient from the starting-point to minimize chi squared,
is not possible, because I have no guess of appropriate starting points. I would
be grateful, if someone could tell me, if ROOT was able to deal with this kind
of problem und if it has advances compared with some standard software like SAS.
Thanks in advance
Christian Kaiser



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