Provided by: gbutils_5.7.1-1_amd64
gbglreg - Estimate general linear regression model
General Linear regression. Data are read in columns (X_1 .. X_N Y). The last column contains the dependent observations. With option -w standard errors associated with the observations can be provided. In this case data are read as (X_1...X_N,Y,std(Y)).
-M the regression model (default 1) 0 with estimated intercept 1 with zero intercept -w consider standard errors -O the type of output (default 0) 0 regression coefficients 1 regression coefficients and errors 2 x, fitted y, error on y, residual 3 coefficients and variance matrix 4 coefficients and explained variance -V method to estimate variance matrix (default 0) 0 ordinary least square estimator 1 heteroscedastic consistent White estimator 2 Hinkley adjusted White estimator 3 Horn-Horn-Duncan adjusted White estimator 4 jacknife estimator -v verbosity level (default 0) 0 just output 1 commented headings 2 model details -h print this help -F specify the input fields separators (default " \t")
Written by Giulio Bottazzi
Report bugs to <firstname.lastname@example.org> Package home page <http://cafim.sssup.it/~giulio/software/gbutils/index.html>
Copyright © 2001-2018 Giulio Bottazzi This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License (version 2) as published by the Free Software Foundation; This program 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.