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  }
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  }
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  \item{scale}{
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  \item{scale}{
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    The variables are scaled by \code{lambda ^ scale} and the
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    The variables are scaled by \code{lambda ^ scale} and the
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    observations are scaled by \code{lambda ^ (1-scale)} where
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    observations are scaled by \code{lambda ^ (1-scale)} where
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    \code{lambda} are the singular values as computed by
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    \code{lambda} are the singular values as computed by
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    \code{\link{princomp}}. Normally \code{0 <= scale <= 1}, and a warning
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    \code{\link{princomp}}. Normally \code{0 <= scale <= 1}, and a warning
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    will be issued if the specified \code{scale} is outside this range.
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    will be issued if the specified \code{scale} is outside this range.
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  }
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  }
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  \item{pc.biplot}{
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  \item{pc.biplot}{
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    If true, use what Gabriel (1971) refers to as a "principal component
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    If true, use what Gabriel (1971) refers to as a "principal component
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    biplot", with \code{lambda = 1} and observations scaled up by sqrt(n) and
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    biplot", with \code{lambda = 1} and observations scaled up by sqrt(n) and