n such a case.
      Statisticians like Latin Squares, as
      do experiment designers, and and people who need to approximate
      scalar functions of many variables.
    </p>

    <p>
      The fact that the projection of a Latin Square dataset onto any
      coordinate axis is either exactly evenly spaced, or approximately
      so (depending on the algorithm), turns out to be an attractive
      feature for many uses.
    </p>

    <p>
      However, a CVT dataset in a regular domain, such as the unit