| 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]