Non-linear regression GUI 1.0

The non-linear regression problem (univariate or multivariate) is easily posed using a graphical user interface (GUI) that solves the problem using one of the following solvers: - nlinfit: only univariate problems. - lsqnonlin: can deal with multivariate problems (more than one dependent fitting variable, ydata is a matrix). - patternsearch: this solver is useful to obtain a good start point, before using nlinfit or lsqonolin; this way, the global minimum is determined easier.Data is introduced in the GUI as vector or matrix from the workspace.The model to be fitted must be written in an M-file in vectorized form: ypred = model(x,xdata) ypred is a column vector (univariate problem) or matrix (multivariate problem) with the model response (observations in rows). x is a vector with the parameters of the model to be fitted. xdata is a matrix with the independent variables in columns and observations in rows.An example of a kinetic equation fitting using data from a batch chemical reactor is enclosed.

Requirements:	No special requirements
Platforms:	Matlab
Keyword:	Gui,  Linear,  Regression,  Scripts
Users rating:	0/10