Alex Vaughan

Lovely code. I found one bug, which I believe is the same as the one Martin points out; his fix didn't work for me, though. In numerFminS, the 'fun' parameter is never used, and the fit is always evaluated based on whatever is in model.m. This can be fixed as:

- 65: [yy]=model(xdata, a);
+ 65: [yy] = @(xdata,a)fun(xdata,a)

Following this, I can then call the function without using model.m as:

fun = @(a,x)(a(1) .* ( x.^a(2) ) ./ (x.^a(2) + a(3).^a(2))); %or whatever.
[ErrTLS,P_TLS] = numerFminS( fun , 3 , lowerBounds, upperBounds, x, y)

Cheers,
Alex