n M dimensions, the 
      corresponding item is a set of N points, where, in each dimension,
      there is exactly one point whose coordinates are in a given
      "column" or range of values.  To emphasize the 
      use of higher dimensions, these objects are sometimes called 
      Latin hypersquares.
    </p>

    <p>
      Once a Latin square has been selected, the center of each
      subsquare is chosen to yield a Latin Edge Square dataset.  
      This is the same technique that yields a Latin Cen