This function calculates the prediction error from an object of class
`"cv4abc"`

for each parameter and tolerance level.

1 2 3 |

`object` |
an object of class |

`print` |
logical, if |

`digits` |
the digits to be rounded to. Can be a vector of the same length as the number of parameters, when each parameter is rounded to its corresponding digits. |

`...` |
other arguments passed to |

The prediction error is calculated as
*\frac{∑((θ^{*}-θ)^2)}{nval\times Var(θ)}*, where
*θ* is the true parameter value, *θ^{*}* is the
predicted parameter value, and *nval* is the number of points where true and predicted values are compared.

The returned value is an object of class `"table"`

, where the
columns correspond to the parameters and the rows to the different
tolerance levels.

`cv4abc`

, `plot.cv4abc`

1 | ```
## see ?cv4abc for examples
``` |

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