  Principal points were first introduced by Flury: for a positive integer $n$,
$n$ principal points of a random variable are the $n$ points that minimize the
mean squared distance between the random variable and the nearest of the $n$
points. In this paper, we determine the $n$ principal points and the
corresponding values of mean squared distance for different values of $n$ for
some univariate absolutely continuous distributions.
