Description Usage Arguments Value Author(s)

Predicts response values based on a model generated by the `gaussian_process`

function (Gaussian process regression with dot product covariance). For internal use only!.

1 | ```
predict_gaussian_process(Xz, alpha, newdata, scale, Xcenter, Xscale, Ycenter, Yscale)
``` |

`Xz` |
the final (scaled?) matrix of predictors used to create the regression model in the |

`alpha` |
the alpha matrix corresponding to the regression model in the |

`newdata` |
a matrix containing the predictor variables |

`scale` |
a logical indicating whether the matrix of predictors used to create the regression model
(in the |

`Xcenter` |
if |

`Xscale` |
if |

`Ycenter` |
if |

`Yscale` |
if |

a matrix of predicted values

Leonardo Ramirez-Lopez

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