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gls.m
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1996-09-28
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# Copyright (C) 1994, 1995 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, 675 Mass Ave, Cambridge, MA 02139, USA.
function [BETA, v, R] = gls (Y, X, O)
# 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.
# 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