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  \item{aliased}{named logical vector showing if the original
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  \item{aliased}{named logical vector showing if the original
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    coefficients are aliased.}
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    coefficients are aliased.}
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  \item{dispersion}{either the supplied argument or the inferred/estimated
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  \item{dispersion}{either the supplied argument or the inferred/estimated
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    dispersion if the latter is \code{NULL}.}
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    dispersion if the latter is \code{NULL}.}
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  \item{df}{a 3-vector of the rank of the model and the number of
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  \item{df}{a 3-vector of the rank of the model and the number of
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    residual degrees of freedom, plus number of non-aliased coefficients.}
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    residual degrees of freedom, plus number of coefficients (including
- 
 
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    aliased ones).}
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  \item{cov.unscaled}{the unscaled (\code{dispersion = 1}) estimated covariance
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  \item{cov.unscaled}{the unscaled (\code{dispersion = 1}) estimated covariance
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    matrix of the estimated coefficients.}
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    matrix of the estimated coefficients.}
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  \item{cov.scaled}{ditto, scaled by \code{dispersion}.}
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  \item{cov.scaled}{ditto, scaled by \code{dispersion}.}
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  \item{correlation}{(only if \code{correlation} is true.)  The estimated
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  \item{correlation}{(only if \code{correlation} is true.)  The estimated
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    correlations of the estimated coefficients.}
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    correlations of the estimated coefficients.}