Hi, I'm trying to use the function 'fit' to fit a surface to a set of 3D data I have. the command I use is
sf = fit([data(:,1), data(:,2)], data(:,3), 'lowess')
where each data column is 400 elements. The function does output and I am able to plot the surface however no function or coefficients are outputted. Only
Locally weighted smoothing linear regression:
sf(x,y) = lowess (linear) smoothing regression computed from p
p = coefficient structure
If I use a different fit style such as 'poly23' I do get a function and coefficients however the surface is a bad fit. I was just wondering if this our put is what I'm suposed to get from the input 'lowess' or if there is a way I can actually get a function out of this.