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diff --git a/octave_packages/nan-2.5.5/cat2bin.m b/octave_packages/nan-2.5.5/cat2bin.m
new file mode 100644
index 0000000..7e1969b
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+++ b/octave_packages/nan-2.5.5/cat2bin.m
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+function [B,BLab]=cat2bin(D, Label, MODE)
+% CAT2BIN converts categorial into binary data 
+%   each category of each column in D is converted into a logical column
+% 
+%   B = cat2bin(C); 
+%   [B,BinLabel] = cat2bin(C,Label); 
+%   [B,BinLabel] = cat2bin(C,Label,MODE)
+%
+%  C        categorial data 
+%  B        binary data 
+%  Label    description of each column in C
+%  BinLabel description of each column in B
+%  MODE     default [], ignores NaN
+%           'notIgnoreNAN' includes binary column for NaN 
+%           'IgnoreZeros'  zeros do not get a separate category 
+%           'IgnoreZeros+NaN' zeros and NaN are ignored
+%
+%  example: 
+%     cat2bin([1;2;5;1;5]) results in 
+%             1     0     0
+%             0     1     0
+%             0     0     1
+%             1     0     0
+%             0     0     1
+
+%	$Id: cat2bin.m 9033 2011-11-08 20:58:07Z schloegl $
+%	Copyright (C) 2009 by Alois Schloegl <alois.schloegl@gmail.com>
+%       This function is part of the NaN-toolbox
+%       http://pub.ist.ac.at/~schloegl/matlab/NaN/
+
+% 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.
+% 
+% 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.
+
+if nargin<3,
+         MODE = []; 
+end; 
+
+% convert data 
+B = []; 
+
+c     = 0; 
+k1    = 0; 
+BLab  = [];
+for m = 1:size(D,2) 
+        h = histo_mex(D(:,m));
+        x = h.X(h.H>0);
+        if strcmpi(MODE,'notIgnoreNaN')
+                ;
+        elseif strcmpi(MODE,'IgnoreZeros')
+                x = x(x~=0);
+        elseif strcmpi(MODE,'IgnoreZeros+NaN')
+                x = x((x~=0) & (x==x));
+        else 
+                x = x(x==x);
+        end; 
+        for k = 1:size(D,1),
+                if ~isnan(D(k,m))
+                        B(k, c + find(D(k,m)==x)) = 1;
+                elseif isnan(x(end)),
+                        B(k, c + length(x)) = 1;
+                end;
+        end;
+
+        c = c + length(x);
+        if nargout>1,
+                for k = 1:length(x),
+                        k1 = k1+1;
+                        if isempty(Label)
+                                BLab{k1} = ['#',int2str(m),':',int2str(x(k))];
+                        else
+                                BLab{k1} = [Label{m},':',int2str(x(k))];
+                        end;
+                end;
+        end;
+end;
+
+
+%!assert(cat2bin([1;2;5;1;5]),[1,0,0;0,1,0;0,0,1;1,0,0;0,0,1])
+