Additional Information
Model: y = f(x;beta) + e = beta(1)exp[-beta(2)x] + beta(3)exp[-(x - beta(4)^2 / beta(5)^2 + beta(6)exp[-(x - beta(7)^2 / beta(8)^2] + e
The data are two strongly-blended Gaussians on a decaying exponential baseline plus normally distributed zero-mean noise with variance = 6.25.