

    \filetitle{fmse}{Forecast mean square error matrices}{model/fmse}

	\paragraph{Syntax}
 
 \begin{verbatim}
 [M,LIST,D] = fmse(M,NPER,...)
 [M,LIST,D] = fmse(M,RANGE,...)
 \end{verbatim}
 \paragraph{Input arguments}
 
 \begin{itemize}
 \item
   \texttt{M} {[} model {]} - Model object for which the forecast MSE
   matrices will be computed.
 \item
   \texttt{NPER} {[} numeric {]} - Number of periods.
 \item
   \texttt{RANGE} {[} numeric {]} - Date range.
 \end{itemize}
 \paragraph{Output arguments}
 
 \begin{itemize}
 \item
   \texttt{M} {[} numeric {]} - Forecast MSE matrices.
 \item
   \texttt{LIST} {[} cellstr {]} - List of variables in rows and columns
   of \texttt{M}.
 \item
   \texttt{D} {[} dbase {]} - Database with the std deviations of
   individual variables, i.e.~the square roots of the diagonal elements
   of \texttt{M}.
 \end{itemize}
 \paragraph{Options}
 
 \begin{itemize}
 \item
   \texttt{'output='} {[} \emph{`namedmat'} \textbar{} numeric {]} -
   Output matrix \texttt{M} will be either a namedmat object or a plain
   numeric array; if the option \texttt{'select='} is used,
   \texttt{'output='} is always \texttt{'namedmat'}.
 \item
   \texttt{'select='} {[} cellstr \textbar{} \emph{\texttt{Inf}} {]} -
   Return the FMSE matrices for selected variables only; \texttt{Inf}
   means all variables. The option does not apply to the database output
   \texttt{D}.
 \end{itemize}
 \paragraph{Description}
 
 \paragraph{Example}


