# Perform SSA forecasting of series

### Description

All-in-one function to perform SSA forecasting of one-dimensional series.

### Usage

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 | ```
## S3 method for class '1d.ssa'
forecast(object,
groups, len = 1,
method = c("recurrent", "vector",
"bootstrap-recurrent", "bootstrap-vector"),
...,
drop = TRUE, drop.attributes = FALSE, cache = TRUE)
## S3 method for class 'toeplitz.ssa'
forecast(object,
groups, len = 1,
method = c("recurrent", "vector",
"bootstrap-recurrent", "bootstrap-vector"),
...,
drop = TRUE, drop.attributes = FALSE, cache = TRUE)
## S3 method for class '1d.ssa'
predict(object,
groups, len = 1,
method = c("recurrent", "vector",
"bootstrap-recurrent", "bootstrap-vector"),
...,
drop = TRUE, drop.attributes = FALSE, cache = TRUE)
## S3 method for class 'toeplitz.ssa'
predict(object,
groups, len = 1,
method = c("recurrent", "vector",
"bootstrap-recurrent", "bootstrap-vector"),
...,
drop = TRUE, drop.attributes = FALSE, cache = TRUE)
## S3 method for class 'mssa'
predict(object,
groups, len = 1,
method = c("recurrent-column", "recurrent-row",
"vector-column", "vector-row"),
...,
drop = TRUE, drop.attributes = FALSE, cache = TRUE)
``` |

### Arguments

`object` |
SSA object holding the decomposition |

`groups` |
list, the grouping of eigentriples to be used in the forecast |

`len` |
the desired length of the forecasted series |

`method` |
method of forecasting to be used. The confidence bounds are available only for bootstrap-based methods |

`...` |
further arguments passed for forecast routines
(e.g. |

`drop` |
logical, if 'TRUE' then the result is coerced to series itself, when possible (length of 'groups' is one) |

`drop.attributes` |
logical, if 'TRUE' then the forecast routines do not try to infer the time index arguments for the forecasted series. |

`cache` |
logical, if 'TRUE' then intermediate results will be cached in the SSA object. |

### Details

This function is a convenient wrapper over other forecast routines (see 'See Also') turning their value into object of type 'forecast' which can be used with the routines from forecast package.

### Value

object of class 'forecast' for `forecast`

function call,
predicted series for `predict`

call.

### See Also

`Rssa`

for an overview of the package, as well as,
`rforecast`

,
`vforecast`

,
`bforecast`

,
`forecast (package)`

### Examples

1 2 3 4 5 6 7 8 9 10 | ```
s <- ssa(co2)
# Calculate 24-point forecast using first 6 components as a base
f <- forecast(s, groups = list(1:6), method = "bootstrap-recurrent", len = 24, R = 10)
# Plot the result including the last 24 points of the series
plot(f, include = 24, shadecols = "green", type = "l")
# Use of predict() for prediction
p <- predict(s, groups = list(1:6), method = "recurrent", len = 24)
# Simple plotting
plot(p, ylab = "Forecasteed Values")
``` |

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