Solves the weighted orthogonal distance regression problem to find parameter estimates that minimize the sum of the squares of the weighted orthogonal distances between each observed data point and the curve described by a nonlinear equation. Includes...
Fits the parameters of physical models to (experimental) data using an Interactive Non-Linear Least Squares procedure. The code, by Mark M. Law and Jeremy M. Hutson, is designed to be highly modular.