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  \item{loglik}{the maximized log-likelihood.  Note that as all these
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  \item{loglik}{the maximized log-likelihood.  Note that as all these
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    models are non-stationary this includes a diffuse prior for some
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    models are non-stationary this includes a diffuse prior for some
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    observations and hence is not comparable to \code{\link{arima}}
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    observations and hence is not comparable to \code{\link{arima}}
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    nor different types of structural models.}
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    nor different types of structural models.}
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  \item{loglik0}{the maximized log-likelihood with the constant used
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  \item{loglik0}{the maximized log-likelihood with the constant used
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    prior to \R 2.16.0, for backwards compatibility.}
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    prior to \R 3.0.0, for backwards compatibility.}
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  \item{data}{the time series \code{x}.}
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  \item{data}{the time series \code{x}.}
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  \item{residuals}{the standardized residuals.}
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  \item{residuals}{the standardized residuals.}
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  \item{fitted}{a multiple time series with one component for the level,
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  \item{fitted}{a multiple time series with one component for the level,
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    slope and seasonal components, estimated contemporaneously (that is
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    slope and seasonal components, estimated contemporaneously (that is
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    at time \eqn{t} and not at the end of the series).}
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    at time \eqn{t} and not at the end of the series).}