p>

    <p>
      A Latin Square dataset is typically a two dimensional dataset
      of <b>N</b> points in the unit square, with the property that, if both the
      <b>x</b> and <b>y</b> axes are divided up into <b>N</b> equal subintervals,
      exactly one dataset point has an <b>x</b> or <b>y</b> coordinate in
      each subinterval.  Latin squares can easily be extended to the
      case of <b>M</b> dimensions, and may be pedantically called <i>Latin
      Hypersquares</i> or <i>Latin Hypercubes</i> i