## [Octave-cvsupdate] octave-forge/main/econometrics/inst kernel_regression.m, 1.1, 1.2

 [Octave-cvsupdate] octave-forge/main/econometrics/inst kernel_regression.m, 1.1, 1.2 From: Michael Creel - 2007-01-31 09:24:07 ```Update of /cvsroot/octave/octave-forge/main/econometrics/inst In directory sc8-pr-cvs3.sourceforge.net:/tmp/cvs-serv31001 Modified Files: kernel_regression.m Log Message: Fix up documentation string Index: kernel_regression.m =================================================================== RCS file: /cvsroot/octave/octave-forge/main/econometrics/inst/kernel_regression.m,v retrieving revision 1.1 retrieving revision 1.2 diff -u -d -r1.1 -r1.2 --- kernel_regression.m 24 Jan 2007 10:55:54 -0000 1.1 +++ kernel_regression.m 31 Jan 2007 09:24:01 -0000 1.2 @@ -14,10 +14,10 @@ # along with this program; if not, write to the Free Software # Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA -# kernel_density: kernel regression estimator +# kernel_regression: kernel regression estimator # # usage: -# dens = kernel_regression(eval_points, depvar, condvars, bandwidth) +# fit = kernel_regression(eval_points, depvar, condvars, bandwidth) # # inputs: # eval_points: PxK matrix of points at which to calculate the density @@ -37,7 +37,7 @@ # kernel (optional): string. Name of the kernel function. Default is radial # symmetric Epanechnikov kernel. # outputs: -# dens: Px1 vector: the fitted density value at each of the P evaluation points. +# fit: Px1 vector: the fitted value at each of the P evaluation points. # function z = kernel_regression(eval_points, depvar, condvars, bandwidth, do_cv, nslaves, debug, bandwith_matrix, kernel) ```

 [Octave-cvsupdate] octave-forge/main/econometrics/inst kernel_regression.m, 1.1, 1.2 From: Michael Creel - 2007-01-31 09:24:07 ```Update of /cvsroot/octave/octave-forge/main/econometrics/inst In directory sc8-pr-cvs3.sourceforge.net:/tmp/cvs-serv31001 Modified Files: kernel_regression.m Log Message: Fix up documentation string Index: kernel_regression.m =================================================================== RCS file: /cvsroot/octave/octave-forge/main/econometrics/inst/kernel_regression.m,v retrieving revision 1.1 retrieving revision 1.2 diff -u -d -r1.1 -r1.2 --- kernel_regression.m 24 Jan 2007 10:55:54 -0000 1.1 +++ kernel_regression.m 31 Jan 2007 09:24:01 -0000 1.2 @@ -14,10 +14,10 @@ # along with this program; if not, write to the Free Software # Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA -# kernel_density: kernel regression estimator +# kernel_regression: kernel regression estimator # # usage: -# dens = kernel_regression(eval_points, depvar, condvars, bandwidth) +# fit = kernel_regression(eval_points, depvar, condvars, bandwidth) # # inputs: # eval_points: PxK matrix of points at which to calculate the density @@ -37,7 +37,7 @@ # kernel (optional): string. Name of the kernel function. Default is radial # symmetric Epanechnikov kernel. # outputs: -# dens: Px1 vector: the fitted density value at each of the P evaluation points. +# fit: Px1 vector: the fitted value at each of the P evaluation points. # function z = kernel_regression(eval_points, depvar, condvars, bandwidth, do_cv, nslaves, debug, bandwith_matrix, kernel) ```