Mercurial > hg > octave-nkf
diff scripts/statistics/base/gls.m @ 3200:781c930425fd
[project @ 1998-10-29 05:23:08 by jwe]
author | jwe |
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date | Thu, 29 Oct 1998 05:23:09 +0000 |
parents | |
children | a4cd1e9d9962 |
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new file mode 100644 --- /dev/null +++ b/scripts/statistics/base/gls.m @@ -0,0 +1,69 @@ +## Copyright (C) 1996, 1997 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. + +## Author: Teresa Twaroch <twaroch@ci.tuwien.ac.at> +## Created: May 1993 +## Adapted-By: jwe + +function [BETA, v, R] = gls (Y, X, O) + + 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