Pre-computed eigenvalues corresponding to the asymptotic sampling distribution of the energy test statistic for univariate normality, under the null hypothesis. Four Cases are computed:

Simple hypothesis, known parameters.

Estimated mean, known variance.

Known mean, estimated variance.

Composite hypothesis, estimated parameters.

Case 4 eigenvalues are used in the test function `normal.test`

when `method=="limit"`

.

`data(EVnormal)`

Numeric matrix with 125 rows and 5 columns; column 1 is the index, and columns 2-5 are the eigenvalues of Cases 1-4.

Szekely, G. J. and Rizzo, M. L. (2005) A New Test for
Multivariate Normality, *Journal of Multivariate Analysis*,
93/1, 58-80,
tools:::Rd_expr_doi("10.1016/j.jmva.2003.12.002").