X-Git-Url: https://pintos-os.org/cgi-bin/gitweb.cgi?a=blobdiff_plain;ds=sidebyside;f=lib%2Flinreg%2Fsweep.c;h=bbab8e2aad4adcdf9f9cbe41ec5d863a5084837b;hb=8e0b8a1517ede1662d735f08b7c573f23bd41c2c;hp=8805840e2c4f0261af1cc3df92267919a20d626d;hpb=009350385d97d9fba2b33ea68cfe8b1aeebf1529;p=pspp diff --git a/lib/linreg/sweep.c b/lib/linreg/sweep.c index 8805840e2c..bbab8e2aad 100644 --- a/lib/linreg/sweep.c +++ b/lib/linreg/sweep.c @@ -1,30 +1,25 @@ -/* lib/linreg/sweep.c +/* PSPP - a program for statistical analysis. + Copyright (C) 2005 Free Software Foundation, Inc. - Copyright (C) 2005 Free Software Foundation, Inc. - Written by Jason H Stover. + This program 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 3 of the License, or + (at your option) any later version. - This program 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 of the License, or (at - your option) any later version. + 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. - 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. - - You should have received a copy of the GNU General Public License - along with this program; if not, write to the Free Software - Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA - 02111-1307, USA. - */ + You should have received a copy of the GNU General Public License + along with this program. If not, see . */ /* Find the least-squares estimate of b for the linear model: Y = Xb + Z - where Y is an n-by-1 column vector, X is an n-by-p matrix of + where Y is an n-by-1 column vector, X is an n-by-p matrix of independent variables, b is a p-by-1 vector of regression coefficients, and Z is an n-by-1 normally-distributed random vector with independent identically distributed components with mean 0. @@ -58,7 +53,7 @@ -- -- X refers to the design matrix and Y to the vector of dependent - observations. reg_sweep sweeps on the diagonal elements of + observations. reg_sweep sweeps on the diagonal elements of X'X. The matrix A is assumed to be symmetric, so the sweep operation is @@ -95,7 +90,7 @@ reg_sweep (gsl_matrix * A) for (j = i; j < A->size2; j++) { /* - Use only the upper triangle of A. + Use only the upper triangle of A. */ if (j < k) {