I have a bunch of list data sets, like 6 or 8 of them. They are 2D and look similar. Both x axis and y axis have variance (in each measurement, x axis also changed a little bit).I know the fitting curve is roughly a exponential decay, and I can fit each of them by NonlinearModelFit.
Of course, I can get the average of them then fit. But Here I want to fit all of them simultaneously using NonlinearModelFit.
If this had been talked before, can someone give me a link? All I found is fitting different data sets with different model so far.