\HeaderA{acf2AR}{Compute an AR Process Exactly Fitting an ACF}{acf2AR}
\keyword{ts}{acf2AR}
\begin{Description}\relax
Compute an AR process exactly fitting an autocorrelation function.
\end{Description}
\begin{Usage}
\begin{verbatim}
acf2AR(acf)
\end{verbatim}
\end{Usage}
\begin{Arguments}
\begin{ldescription}
\item[\code{acf}] An autocorrelation or autocovariance sequence.
\end{ldescription}
\end{Arguments}
\begin{Value}
A matrix, with one row for the computed AR(p) coefficients for
\code{1 <= p <= length(acf)}.
\end{Value}
\begin{SeeAlso}\relax
\code{\LinkA{ARMAacf}{ARMAacf}}, \code{\LinkA{ar.yw}{ar.yw}} which does this from an
empirical ACF.
\end{SeeAlso}
\begin{Examples}
\begin{ExampleCode}
(Acf <- ARMAacf(c(0.6, 0.3, -0.2)))
acf2AR(Acf)
\end{ExampleCode}
\end{Examples}

