Dear python-users, I am trying to do a non-linear least squares fitting. Maybe trying is not the best word, as I already succeeded in that. At the moment I am using leastSquaresFit from Scientific Python. I know of other least squares routines, such as the one in scipy.optimize and I believe there is also one in numpy. Now here is my question: in my search for a good algorithm, I was not able to find any non-linear least squares fitting routine which in the end doesn't only give me the parameters which I asked for, but also the estimated errors on these parameters. Is there anyone who can help me getting these errors?
Thanks in advance, Evelien -- http://mail.python.org/mailman/listinfo/python-list
