From a94d5054363ca725a6810780b3621f064956929a Mon Sep 17 00:00:00 2001 From: Jason Stover Date: Mon, 10 Mar 2008 03:02:38 +0000 Subject: [PATCH] Removed reference to EXPORT subcommand --- doc/ChangeLog | 4 ++++ doc/regression.texi | 35 ++++------------------------------- 2 files changed, 8 insertions(+), 31 deletions(-) diff --git a/doc/ChangeLog b/doc/ChangeLog index 58c8b333..fdc3c8e7 100644 --- a/doc/ChangeLog +++ b/doc/ChangeLog @@ -1,3 +1,7 @@ +2008-03-09 Jason Stover + + * regression.texi (REGRESSION): Removed references to subcommand EXPORT. + 2008-02-06 John Darrington * files.texi: Document the /BSIZE subcommand to the PSQL diff --git a/doc/regression.texi b/doc/regression.texi index 8b6d7e4d..66125b48 100644 --- a/doc/regression.texi +++ b/doc/regression.texi @@ -18,7 +18,7 @@ explanatory variable. @item The dependent variable Y has the following relationship to the explanatory variables: -@math{Y_i = b_0 + b_1 X_1i + ... + b_k X_ki + Z_i} +@math{Y_i = b_0 + b_1 X_{1i} + ... + b_k X_{ki} + Z_i} where @math{b_0, b_1, ..., b_k} are unknown coefficients, and @math{Z_1,...,Z_n} are independent, normally distributed ``noise'' terms with common variance. The noise, or @@ -47,7 +47,6 @@ REGRESSION /VARIABLES=var_list /DEPENDENT=var_list /STATISTICS=@{ALL, DEFAULTS, R, COEFF, ANOVA, BCOV@} - /EXPORT ('file-name') /SAVE=@{PRED, RESID@} @end display @@ -87,23 +86,10 @@ RES3 if RES1 and RES2 already exist, etc. It will choose the name of the variable for the predicted values similarly, but with PRED as a prefix. -The EXPORT subcommand causes PSPP to write a C program containing -functions related to the model. One such function accepts values of -explanatory variables as arguments, and returns an estimate of the -corresponding new -value of the dependent variable. The generated program will also contain -functions that return prediction and confidence intervals related to -those new estimates. PSPP will write the program to the -'file-name' given by the user, and write declarations of functions -to a file called pspp_model_reg.h. The user can then compile the C -program and use it as part of another program. This subcommand is a -PSPP extension. - @node Examples @subsection Examples -The following PSPP syntax will generate the default output, save the -predicted values and residuals to the active file, and save the -linear model in a program called ``model.c.'' +The following PSPP syntax will generate the default output and save the +predicted values and residuals to the active file. @example title 'Demonstrate REGRESSION procedure'. @@ -122,19 +108,6 @@ b 6.200189 -18.58219 end data. list. regression /variables=v0 v1 v2 /statistics defaults /dependent=v2 - /export (model.c) /save pred resid /method=enter. -@end example - -The file pspp_model_reg.h contains these declarations: - -@example -double pspp_reg_estimate (const double *, const char *[]); -double pspp_reg_variance (const double *var_vals, const char *[]); -double pspp_reg_confidence_interval_U (const double *var_vals, const char *var_names[], double p); -double pspp_reg_confidence_interval_L (const double *var_vals, const char *var_names[], double p); -double pspp_reg_prediction_interval_U (const double *var_vals, const char *var_names[], double p); -double pspp_reg_prediction_interval_L (const double *var_vals, const char *var_names[], double p); + /save pred resid /method=enter. @end example - -The file model.c contains the definitions of the functions. @setfilename ignored -- 2.30.2