Hi, See class TMultiDimFit http://root.cern.ch/root/htmldoc/TMultiDimFit.html and an example with the tutorial $ROOTSYS/tutorials/multidimfit.C Rene Brun On Tue, 25 Nov 2003, Venkatesh Kaushik wrote: > > Hi ROOTers, > I have a set of data which is fairly gaussian > i have to fit a function that looks like this > > U[i] = A* X1[i] + B * X2[i] + C * X3[i] + D * X4[i] , i =1, N > > U --> dependent variable ( and also input data) > X1 thro X4 --> Independent variables, not correlated, (also the the input data) > N --> Number of data points > i --> Index that runs from 1 thro N > > > If i just plot X1, X2, X3 and X4, and U, i get a > gaussian distribution for each. > > My questions are > 1) is this a candidate for a multidimensional fit? > 2) if so, i have to find the co-efficients A, B, C and D that best > represent the data. > > Can you please help me? > Thanks in advance. > > Venkat. >
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