Generate a simulated multivariable random normally distributed dataset using the method of Cholesky Decomposition.

1 | ```
randnor(n, mu, Cov)
``` |

`n` |
the number of rows of observations in the dataset |

`mu` |
a vector of length m containing the column means of the dataset |

`Cov` |
an m x m covariance matrix |

A simulated matrix of values based on the input parameters is returned.

Rizzo M. L., *"Statistical Computing with R", Chapman & Hall/CRC* (2007)

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