Least Linear Squares: Scipy.optimize.curve_fit() Throws "result From Function Call Is Not A Proper Array Of Floats."

i am trying to implement an python code right now, which computes the least squared error for a matrix equation First, I have some 2 dimensional Data XDATA (Array of Array of Float

Solution 1:

curve_fit solves a nonlinear least squares problem. For linear least squares, better use lsq_linear or numpy.lstsq