predict.estpoly {sysid} | R Documentation |
Predictions of identified model
Description
Predicts the output of an identified model (estpoly
) object K steps ahead.
Usage
## S3 method for class 'estpoly'
predict(object, newdata = NULL, nahead = 1, ...)
Arguments
object |
|
newdata |
optional dataset to be used for predictions. If not supplied, predictions are made on the training set. |
nahead |
number of steps ahead at which to predict (Default:1). For infinite-
step ahead predictions or pure simulation, supply |
... |
other arguments |
Value
Time-series containing the predictions
References
Arun K. Tangirala (2015), Principles of System Identification: Theory and Practice, CRC Press, Boca Raton. Chapter 18
Examples
data(arxsim)
mod1 <- oe(arxsim,c(2,1,1))
Yhat <- predict(mod1,arxsim) # 1-step ahead predictions
Yhat_2 <- predict(mod1,arxsim,nahead=2) # 2-step ahead predictions
Yhat_inf <- predict(mod1,arxsim,nahead=Inf) # Infinite-step ahead predictions
[Package sysid version 1.0.4 Index]