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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