X-Git-Url: https://pintos-os.org/cgi-bin/gitweb.cgi?a=blobdiff_plain;f=src%2Fmath%2Fts%2Finnovations.h;h=f0e40c59f7e2400b0d47609534a14ba1e64c3580;hb=263613c4fe117bcf0702cc7d0d334068b2424d37;hp=faa09893ede4d332e39741f2ea8b428ef23322de;hpb=f5c108becd49d78f4898cab11352291f5689d24e;p=pspp

diff --git a/src/math/ts/innovations.h b/src/math/ts/innovations.h
index faa09893ed..f0e40c59f7 100644
--- a/src/math/ts/innovations.h
+++ b/src/math/ts/innovations.h
@@ -1,22 +1,18 @@
-/*
-  src/math/ts/innovations.h
-
-  Copyright (C) 2006 Free Software Foundation, Inc. Written by Jason H. Stover.
+/* PSPP - a program for statistical analysis.
+   Copyright (C) 2006 Free Software Foundation, Inc.
 
-  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 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 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 <http://www.gnu.org/licenses/>. */
 /*
   Find preliminary ARMA coefficients via the innovations algorithm.
   Also compute the sample mean and covariance matrix for each series.