Mercurial > hg > octave-lyh
view scripts/statistics/gls.m @ 2311:2b5788792cad
[project @ 1996-07-11 20:18:38 by jwe]
author | jwe |
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date | Thu, 11 Jul 1996 20:18:38 +0000 |
parents | 5cffc4b8de57 |
children | 204cc7db6f4a |
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### Copyright (C) 1996 John W. Eaton ### ### This file is part of Octave. ### ### Octave is free software; you can redistribute it and/or modify it ### under the terms of the GNU General Public License as published by ### the Free Software Foundation; either version 2, or (at your option) ### any later version. ### ### Octave is distributed in the hope that it will be useful, but ### WITHOUT ANY WARRANTY; without even the implied warranty of ### MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU ### General Public License for more details. ### ### You should have received a copy of the GNU General Public License ### along with Octave; see the file COPYING. If not, write to the Free ### Software Foundation, 59 Temple Place - Suite 330, Boston, MA ### 02111-1307, USA. ## usage: [BETA, v [,R]] = gls (Y, X, O) ## ## Generalized Least Squares (GLS) estimation for the multivariate model ## ## Y = X*B + E, mean(E) = 0, cov(vec(E)) = (s^2)*O ## ## with Y ... T x p As usual, each row of Y and X is an observation ## X ... T x k and each column a variable. ## B ... k x p ## E ... T x p ## O ... Tp x Tp. ## ## BETA is the GLS estimator for B. ## v is the GLS estimator for s^2. ## R = Y - X*BETA is the matrix of GLS residuals. function [BETA, v, R] = gls (Y, X, O) ## Written by Teresa Twaroch (twaroch@ci.tuwien.ac.at) May 1993. ## Dept of Probability Theory and Statistics TU Wien, Austria. if (nargin != 3) usage ("[BETA, v [, R]] = gls (Y, X, O)"); endif [rx, cx] = size (X); [ry, cy] = size (Y); if (rx != ry) error ("gls: incorrect matrix dimensions"); endif O = O^(-1/2); Z = kron (eye (cy), X); Z = O * Z; Y1 = O * reshape (Y, ry*cy, 1); U = Z' * Z; r = rank (U); if (r == cx*cy) B = inv (U) * Z' * Y1; else B = pinv (Z) * Y1; endif BETA = reshape (B, cx, cy); R = Y - X * BETA; v = (reshape (R, ry*cy, 1))' * (O^2) * reshape (R, ry*cy, 1) / (rx*cy - r); endfunction