This function makes predictions from a cross-validated hqreg model, using the stored fit
and the optimal value chosen for `lambda`

.

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`object` |
Fitted |

`X` |
Matrix of values at which predictions are to be made. Used only for |

`lambda` |
Values of the regularization parameter |

`type` |
Type of prediction. |

`...` |
Not used. Other arguments to predict. |

The object returned depends on type.

Congrui Yi <congrui-yi@uiowa.edu>

Yi, C. and Huang, J. (2016)
*Semismooth Newton Coordinate Descent Algorithm for
Elastic-Net Penalized Huber Loss Regression and Quantile Regression*,
https://arxiv.org/abs/1509.02957

*Journal of Computational and Graphical Statistics, accepted in Nov 2016*

http://www.tandfonline.com/doi/full/10.1080/10618600.2016.1256816

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Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

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