S4 classes to store the event and accumulation times of archaeological assemblages.

`data`

`dates`

A

`numeric`

vector of dates.`model`

A

`multiple linear model`

: the Gaussian multiple linear regression model fitted for event date estimation and prediction.`dimension`

An

`integer`

vector giving the CA dimensions kept.`level`

A length-one

`numeric`

vector giving the confidence level.`mcd`

A three columns

`numeric`

matrix giving the Mean Ceramic Date for each archaeological assemblage, with the following columns:- date
The event date estimation.

- lower
The lower boundary of the confidence interval.

- upper
The upper boundary of the confidence interval.

`row_events`

A four columns

`numeric`

matrix giving the predicted event dates for each archaeological assemblage, with the following columns:- date
The event date estimation.

- lower
The lower boundary of the confidence interval.

- upper
The upper boundary of the confidence interval.

- error
The standard error of predicted dates.

`column_events`

A four columns

`numeric`

matrix giving the predicted event dates for each archaeological type or fabric, with the following columns:- date
The event date estimation.

- lower
The lower boundary of the confidence interval.

- upper
The upper boundary of the confidence interval.

- error
The standard error of predicted dates.

`accumulation`

A two columns

`numeric`

matrix giving the point estimate of the accumulation dates and the corresponding error.

`x[[i]]`

Extracts informations from a slot selected by subscript

`i`

.`i`

is a length-one`character`

vector. Returns the corresponding slot values.

Other class:
`BootCA-class`

,
`CA-class`

,
`DiversityIndex`

,
`PermutationOrder-class`

N. Frerebeau