Evaluate a fitted QRNN model or ensemble of models, resulting in a list containing the predicted quantiles.

1 | ```
qrnn.predict(x, parms)
``` |

`x` |
covariate matrix with number of rows equal to the number of samples and number of columns equal to the number of variables. |

`parms` |
list containing QRNN input-hidden and hidden-output layer weight matrices and other parameters from |

a list with number of elements equal to that of `parms`

, each containing a column matrix of predicted quantiles.

`qrnn.fit`

1 2 3 4 5 6 7 8 9 10 11 |

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