This function calculates the `k`

nearest neighbour distance from each
value in `x`

to the remainder of the data. In two dimensions, Euclidean
distance is used after standardising the data to have unit variance in
each component.

1 | ```
nnbr(x, k)
``` |

`x` |
the vector, or two-column matrix, of data. |

`k` |
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.

none.

1 2 3 4 |

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