X-Git-Url: https://pintos-os.org/cgi-bin/gitweb.cgi?a=blobdiff_plain;ds=inline;f=src%2Fmath%2Fts%2Finnovations.c;h=3e3be2024711a727e8a382d48841213106c8f03e;hb=392ab4052e2743f80664a4130b2b4ee5d82af7fe;hp=44fa09816568b17d84b604a25390a946686c1dd9;hpb=f5c108becd49d78f4898cab11352291f5689d24e;p=pspp
diff --git a/src/math/ts/innovations.c b/src/math/ts/innovations.c
index 44fa098165..3e3be20247 100644
--- a/src/math/ts/innovations.c
+++ b/src/math/ts/innovations.c
@@ -1,22 +1,19 @@
-/*
- src/math/ts/innovations.c
+/* PSPP - a program for statistical analysis.
+ Copyright (C) 2006 Free Software Foundation, Inc.
- Copyright (C) 2006 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, see . */
- 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.
- */
/*
Find preliminary ARMA coefficients via the innovations algorithm.
Also compute the sample mean and covariance matrix for each series.
@@ -33,11 +30,12 @@
#include
#include
#include
-#include
#include
#include