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  \item{ts.eps}{time series comparison tolerance.  Frequencies are
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  \item{ts.eps}{time series comparison tolerance.  Frequencies are
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    considered equal if their absolute difference is less than
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    considered equal if their absolute difference is less than
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    \code{ts.eps}.}
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    \code{ts.eps}.}
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  \item{class}{class to be given to the result, or none if \code{NULL}
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  \item{class}{class to be given to the result, or none if \code{NULL}
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    or \code{"none"}.  The default is \code{"ts"} for a single series,
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    or \code{"none"}.  The default is \code{"ts"} for a single series,
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    \code{c("mts", "ts")} for multiple series.}
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    \code{c("mts", "ts", "matrix")} for multiple series.}
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  \item{names}{a character vector of names for the series in a multiple
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  \item{names}{a character vector of names for the series in a multiple
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    series: defaults to the colnames of \code{data}, or \code{Series 1},
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    series: defaults to the colnames of \code{data}, or \code{Series 1},
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    \code{Series 2}, \dots.}
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    \code{Series 2}, \dots.}
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  \item{x}{an arbitrary \R object.}
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  \item{x}{an arbitrary \R object.}
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  \item{\dots}{arguments passed to methods (unused for the default method).}
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  \item{\dots}{arguments passed to methods (unused for the default method).}
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plot(gnp) # using 'plot.ts' for time-series plot
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plot(gnp) # using 'plot.ts' for time-series plot
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## Multivariate
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## Multivariate
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z <- ts(matrix(rnorm(300), 100, 3), start = c(1961, 1), frequency = 12)
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z <- ts(matrix(rnorm(300), 100, 3), start = c(1961, 1), frequency = 12)
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class(z)
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class(z)
- 
 
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head(z) # as "matrix"
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plot(z)
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plot(z)
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plot(z, plot.type = "single", lty = 1:3)
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plot(z, plot.type = "single", lty = 1:3)
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## A phase plot:
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## A phase plot:
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plot(nhtemp, c(nhtemp[-1], NA), cex = .8, col = "blue",
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plot(nhtemp, c(nhtemp[-1], NA), cex = .8, col = "blue",