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diff --git a/octave_packages/nnet-0.1.13/poststd.m b/octave_packages/nnet-0.1.13/poststd.m
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+## Copyright (C) 2006 Michel D. Schmid  <michaelschmid@users.sourceforge.net>
+##
+##
+## 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, 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.
+##
+## You should have received a copy of the GNU General Public License
+## along with this program; see the file COPYING.  If not, see
+## <http://www.gnu.org/licenses/>.
+
+## -*- texinfo -*-
+## @deftypefn {Function File} {}[@var{Pp},@var{Tt}] = poststd(@var{Pn},@var{meanp},,@var{stdP},@var{Tn},@var{meanT},@var{stdT})
+## @code{poststd} postprocesses the data which has been preprocessed by @code{prestd}.
+## @end deftypefn
+
+## @seealso{prestd,trastd}
+
+## Author: Michel D. Schmid
+
+function [Pp,Tt] = poststd(Pn,meanp,stdp,Tn,meant,stdt)
+
+  ## check range of input arguments
+  error(nargchk(3,6,nargin))
+  if (nargin==4)
+    error("4 input arguments are not allowed!");
+  endif
+  if (nargin==5)
+    error("5 input arguments are not allowed!");
+  endif
+
+  ## do first inputs
+  ## set all standard deviations which are zero to 1
+  [nRowsII, nColumnsII] = size(Pn);
+  rowZeros = zeros(nRowsII,1);
+  findZeros = find(stdp==0);
+  rowZeros(findZeros)=1;
+  nequal = !rowZeros;
+  if (sum(rowZeros) != 0)
+    warning("Some standard deviations are zero. Those inputs won't be transformed.");
+    meanpZero = meanp.*nequal;
+    stdpZero = stdp.*nequal + 1*rowZeros;
+  else
+    meanpZero = meanp;
+    stdpZero = stdp;
+  endif
+  
+  ## calculate the postprocessed inputs
+  nColumnsIIone = ones(1,nColumnsII);
+  Pp = (stdpZero*nColumnsIIone).*Pn + meanpZero*nColumnsIIone;
+
+  ## do also targets
+  if ( nargin==6 )
+    # now set all standard deviations which are zero to 1
+    [nRowsIII, nColumnsIII] = size(stdt);
+    rowZeros = zeros(nRowsIII,1);
+    findZeros = find(stdt==0);
+    rowZeros(findZeros)=1;
+    nequal = !rowZeros;
+    if (sum(rowZeros) != 0)
+      warning("Some standard deviations are zero. Those targets won't be transformed.");
+      meantZero = meant.*nequal;
+      stdtZero = stdt.*nequal + 1*rowZeros;
+    else
+      meantZero = meant;
+      stdtZero = stdt;
+    endif
+
+    ## calculate the postprocessed targets
+    nColumnsIIIone = ones(1,nColumnsIII);
+    Tt = (stdtZero*nColumnsIIIone).*Tn + meantZero*nColumnsIIIone;
+  endif
+
+endfunction
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