Given a set of x,y,z coordinates, find the best planar fit to the points via a least squares regression. Testing script "t_fitNormal" is also included to verify functionality and demonstrate usage.
> data = rand(50,3)*100;
> data(:,3) = data(:,1) * .4 + data(:,2) * .6 + rand(50,1);
> n = fitNormal(data,1)
Dan Couture (2023). Plane Fitting and Normal Calculation (https://www.mathworks.com/matlabcentral/fileexchange/37775-plane-fitting-and-normal-calculation), MATLAB Central File Exchange. Retrieved .
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