📄 ols.m
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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, SIGMA [, R]] = ols (Y, X)#### Ordinary Least Squares (OLS) estimation for the multivariate model#### Y = X*B + E, mean(E) = 0, cov(vec(E)) = kron(S,I)#### 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.#### BETA is the OLS estimator for B, i.e.#### BETA = pinv(X)*Y,#### where pinv(X) denotes the pseudoinverse of X.## SIGMA is the OLS estimator for the matrix S, i.e.#### SIGMA = (Y - X*BETA)'*(Y - X*BETA) / (T - rank(X)).#### R = Y - X*BETA is the matrix of OLS residuals.## Author: Teresa Twaroch <twaroch@ci.tuwien.ac.at>## Created: May 1993## Adapted-By: jwefunction [BETA, SIGMA, R] = ols (Y, X) if (nargin != 2) error("usage : [BETA, SIGMA [, R]] = ols (Y, X)"); endif [nr, nc] = size (X); [ry, cy] = size (Y); if (nr != ry) error ("ols: incorrect matrix dimensions"); endif Z = X' * X; r = rank (Z); if (r == nc) BETA = inv (Z) * X' * Y; else BETA = pinv (X) * Y; endif R = Y - X * BETA; SIGMA = R' * R / (nr - r);endfunction
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