www.gusucode.com > mbcmodels 工具箱 matlab 源码程序 > mbcmodels/@xregmultilin/sse_transform.m
function varargout = sse_transform(m,transform,X,Y,varargin) % xreglinear/sse % [sse,ci,TransformOutputs] = sse_transform(model,transform,X,Y,TransformParameters) % Computes the sse and confidence interval on data X and Y given transformation % transform % % For transform = 'boxcox' an optional TransformParameter Lambda_Range allows the sse % to be computed over a vector of possible lambda. If Lambda_Range is not included it % defaults to -3:0.5:3. Lambda_Range is returned in the TransformOutputs % Copyright 2000-2004 The MathWorks, Inc. and Ford Global Technologies, Inc. varargout = cell(1,nargout); [varargout{:}] = sse_transform(get(m,'currentmodel'),transform,X,Y,varargin{:});