Introduction - If you have any usage issues, please Google them yourself
curve fitting through a given set of two-dimensional coordinates, using the inverse matrix in linear algebra knowledge, find out the rules from these data, the original prediction function f (x) expression, to eliminate the fluctuation to local data. Once the function image is a straight line, two times fitting the image is parabolic. The two fitting approximation is higher than the latter.