www.gusucode.com > mbcmodels 工具箱 matlab 源码程序 > mbcmodels/@xregmodel/fitmodel.m
function [m,OK,S,varargout]=fitmodel(m,X,Y,varargin) %FITMODEL Obtain least squares estimate of model % % [m,OK]= FITMODEL(M0,X,Y) % fit of model. The main tasks of fitmodel are % convert data to double % remove bad data % perform X and Y transformations % % Inputs M0 Initial Model % X column-wise X data matrix % Y column-wise Y data vector % % Outputs M estimate of model % OK solution found % S summary statistics (labels in colhead(m)) % % Copyright 2000-2008 The MathWorks, Inc. and Ford Global Technologies, Inc. % transform and Remove Bad Data if ~isempty(varargin) [x,y,varargin{:},OK]= checkdata(m,X,Y,varargin{:}); else [x,y]= checkdata(m,X,Y); end if isempty(y) % nothing to fit OK= false; varargout= cell(1,nargout-3); else % call the fit method [m,OK,varargout{1:nargout-3}]= runfit(m,x,y,varargin{:}); end if OK>0 % summary stats S = FitSummary(m,x,y); else % set all stats to NaN S = NaN(size(StatsList(m))); end