MATLAB: Nonlinear curve-fitting: weight vector

Question

hi I am working on a multiobjective procedure using the 'lsqcurvefit' (Levenberg-Marquardt algorithm): I would like to use a weight vector during risolution of the best fit in order to force the best fit function following the last inputs in a better way instead of the first ones. How can I?

Answer 1

nlinfit in Statistics Toolbox

1. Uses Levenberg-Marquardt under the hood
2. Allows you to input a vector of weights

See http://www.mathworks.com/help/toolbox/stats/nlinfit.html