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    %% Matrix with Missing Data
% Create a matrix with missing data and remove any column (second
% dimension) containing two or more missing values.  Return the new matrix and the
% logical row vector that indicates which columns of |A| were removed.
A = [NaN NaN 5 3 NaN 5 7 NaN 9 2;
     8 9 NaN 1 4 5 6 5 NaN 5;
     NaN 4 9 8 7 2 4 1 NaN 3]
 
%%
[R,TF] = rmmissing(A,2,'MinNumMissing',2)