predictARX: Predict a regression model with AR errors
In carx: Censored Autoregressive Model with Exogenous Covariates

Predict a regression model with AR errors

1	predictARX(y, x, prmtrX, prmtrAR, sigma, n.ahead, newxreg, CI.level = 0.95)

`y`	response data used to fit the model.
`x`	covariate matrix used to fit the model.
`prmtrX`	regression coefficients for covariates.
`prmtrAR`	AR coefficients for the regression errors.
`sigma`	innovation standard deviation.
`n.ahead`	the number of steps ahead to predict, default = 1.
`newxreg`	the new observations for the coverates `x`, default=NULL. If there is no covariate, the value can be assigned to be `NULL`. Otherwise, a matrix of new observations is required to compute predictions. Default=`NULL`.
`CI.level`	the CI.level to construct the confidence interval, default = 0.95.