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 > fm 101 3 testdata                             # create test data set
0 > =ox (i-50)/10                                 # x-scale now goes from -5 to 5 in steps of 0.1
0 > =oy exp(-(x-j)^2/2/(1.4^j)^2)*ran(.8,1.2+0*i) # y(x) is now a noisy Gaussian
0 > cc p0*exp(-(t-p1)^2/2/p2^2)                   # create fit curve
1 > op0 1                                         # set initial value of fit parameter
1 > op1 1                                         #   (in this case not really necessary,
1 > op2 1                                         #   because by default the initial value is 1 anyway)
1 > cf                                            # perform a fit
1 > 0,1 p 1                                       # plot spectrum 1 (data and curve)
0,1 > cp                                          # show fit parameters