Least squares fit/line fit for 3D data
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I have 3D data that I'd like to get a least squares fit from. Once I have this fit with an equation, I'd like to transform new data with it...so I need the code and to understand where to plug the new data into whatever equation comes from it. Can anyone help? Much appreciated.
Thanks
Answers (1)
Star Strider
on 4 Dec 2019
For a linear regression, this is straightforward:
B = [x(:) y(:) ones(size(x(:)))] \ z(:); % Linear Parameters
z_fit = [x(:) y(:) ones(size(x(:)))] * B; % Fitted ‘z’
For a nonlinear regression, we would need sto see your model.
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