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    importance on each factor.  Each variable with any loading larger
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    importance on each factor.  Each variable with any loading larger
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    than 0.5 (in modulus) is assigned to the factor with the largest
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    than 0.5 (in modulus) is assigned to the factor with the largest
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    loading, and the variables are printed in the order of the factor
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    loading, and the variables are printed in the order of the factor
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    they are assigned to, then those unassigned.}
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    they are assigned to, then those unassigned.}
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  \item{\dots}{further arguments for other methods; for \code{factanal}
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  \item{\dots}{further arguments for other methods; for \code{factanal}
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    printing, notably passed to \code{print(<loadings>, ...)}, hence, e.g.,
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    printing, notably passed to \code{print(\var{loadings}, ...)}, hence, e.g.,
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    \code{cutoff = <frac>}; ignored for \code{loadings}.}
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    \code{cutoff = \var{frac}}; ignored for \code{loadings}.}
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}
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}
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\details{
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\details{
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  \sQuote{Loadings} is a term from \emph{factor analysis}, but because
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  \sQuote{Loadings} is a term from \emph{factor analysis}, but because
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  factor analysis and principal component analysis (PCA) are often
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  factor analysis and principal component analysis (PCA) are often