X-Git-Url: https://pintos-os.org/cgi-bin/gitweb.cgi?a=blobdiff_plain;f=src%2Flanguage%2Fstats%2Fregression.q;h=869f32a716ee0c719fc7e247f40f6015b58f285f;hb=6bae018e92d45abceef4224117a147f87f2853a9;hp=1f2ac2a6bac15051def19c85dc6b7e1af180dcde;hpb=dc78471910e82d59232ce9b137b7c4fc4992d174;p=pspp-builds.git
diff --git a/src/language/stats/regression.q b/src/language/stats/regression.q
index 1f2ac2a6..869f32a7 100644
--- a/src/language/stats/regression.q
+++ b/src/language/stats/regression.q
@@ -1,20 +1,18 @@
-/* PSPP - linear regression.
+/* PSPP - a program for statistical analysis.
Copyright (C) 2005 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
- 02110-1301, USA. */
+ along with this program. If not, see . */
#include
@@ -119,14 +117,14 @@ static size_t n_variables;
/*
File where the model will be saved if the EXPORT subcommand
- is given.
+ is given.
*/
static struct file_handle *model_file;
static bool run_regression (struct casereader *, struct cmd_regression *,
struct dataset *);
-/*
+/*
STATISTICS subcommand output functions.
*/
static void reg_stats_r (pspp_linreg_cache *);
@@ -454,8 +452,8 @@ statistics_keyword_output (void (*function) (pspp_linreg_cache *),
static void
subcommand_statistics (int *keywords, pspp_linreg_cache * c)
{
- /*
- The order here must match the order in which the STATISTICS
+ /*
+ The order here must match the order in which the STATISTICS
keywords appear in the specification section above.
*/
enum
@@ -628,7 +626,7 @@ regression_trns_resid_proc (void *t_, struct ccase *c,
return TRNS_CONTINUE;
}
-/*
+/*
Returns false if NAME is a duplicate of any existing variable name.
*/
static bool
@@ -1042,7 +1040,7 @@ prepare_categories (struct casereader *input,
cat_stored_values_create (vars[i]);
n_data = 0;
- for (; casereader_read (input, &c); case_destroy (&c))
+ for (; casereader_read (input, &c); case_destroy (&c))
{
/*
The second condition ensures the program will run even if
@@ -1052,12 +1050,12 @@ prepare_categories (struct casereader *input,
for (i = 0; i < n_vars; i++)
{
const union value *val = case_data (&c, vars[i]);
- if (var_is_alpha (vars[i]))
- cat_value_update (vars[i], val);
+ if (var_is_alpha (vars[i]))
+ cat_value_update (vars[i], val);
else
moments1_add (mom[i].m, val->f, 1.0);
}
- n_data++;
+ n_data++;
}
casereader_destroy (input);
@@ -1161,7 +1159,7 @@ run_regression (struct casereader *input, struct cmd_regression *cmd,
casenumber row;
struct ccase c;
size_t n_data; /* Number of valid cases. */
-
+
dep_var = cmd->v_dependent[k];
n_indep = identify_indep_vars (indep_vars, dep_var);
@@ -1221,7 +1219,7 @@ run_regression (struct casereader *input, struct cmd_regression *cmd,
*/
coeff_init (models[k], X);
- /*
+ /*
Find the least-squares estimates and other statistics.
*/
pspp_linreg ((const gsl_vector *) Y, X->m, &lopts, models[k]);
@@ -1230,7 +1228,7 @@ run_regression (struct casereader *input, struct cmd_regression *cmd,
if (!taint_has_tainted_successor (casereader_get_taint (input)))
{
subcommand_statistics (cmd->a_statistics, models[k]);
- subcommand_export (cmd->sbc_export, models[k]);
+ subcommand_export (cmd->sbc_export, models[k]);
}
gsl_vector_free (Y);
@@ -1249,7 +1247,7 @@ run_regression (struct casereader *input, struct cmd_regression *cmd,
}
/*
- Local Variables:
+ Local Variables:
mode: c
End:
*/