Can someone please walk me through how to do a polynomial curve fit to n-dimensional data? For example: I have a 3D matrix t = [i x j x k] of results for all combinations of 3 different variables x = [i x 1], y = [j x 1], and z = [k x 1], and we know it follows a polynomial fit (e.g. x = 4th order, y = 2nd order, and z = 2nd order). How do I set up the problem, define the fit equation, and find the fit parameters?Can someone please walk me through how to do a polynomial curve fit to n-dimensional data? For example: I have a 3D matrix t = [i x j x k] of results for all combinations of 3 different variables x = [i x 1], y = [j x 1], and z = [k x 1], and we know it follows a polynomial fit (e.g. x = 4th order, y = 2nd order, and z = 2nd order). How do I set up the problem, define the fit equation, and find the fit parameters? Can someone please walk me through how to do a polynomial curve fit to n-dimensional data? For example: I have a 3D matrix t = [i x j x k] of results for all combinations of 3 different variables x = [i x 1], y = [j x 1], and z = [k x 1], and we know it follows a polynomial fit (e.g. x = 4th order, y = 2nd order, and z = 2nd order). How do I set up the problem, define the fit equation, and find the fit parameters? regression, curve fitting, polyfit MATLAB Answers — New Questions

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