This function evaluates the integrated squared error between a density
estimate constructed from a standardised version of the univariate data
`y`

and a standard normal density function.

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`y` |
a vector of data. |

`...` |
further arguments which are to be passed to |

The data `y`

are first standardised to have sample mean 0 and sample
variance 1. The integrated squared error between a density estimate
constructed from these standardised data and a standard normal distribution
is then evaluated.

See Section 2.5 of the reference below.

the integrated squared error.

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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