I am looking to compare the degree of accuracy of a theoretical model by comparing my theoretical curve to my experimental data points.
My theoretical curve is an interpolating function generated from a numerical simulation (
NDSolve). And the data points I'm looking to compare it with (derived from experimentation) is just a list of lists (e.g.
What is the best approach to compute the R squared value to measure how well the data points lie on the interpolating function?