This function calculates the
k nearest neighbour distance from each
x to the remainder of the data. In two dimensions, Euclidean
distance is used after standardising the data to have unit variance in
the vector, or two-column matrix, of data.
the required order of nearest neighbour.
see Section 1.7.1 of the reference below.
the vector of nearest neighbour distances.
Bowman, A.W. and Azzalini, A. (1997). Applied Smoothing Techniques for Data Analysis: the Kernel Approach with S-Plus Illustrations. Oxford University Press, Oxford.
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