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  \item{y}{vector of observations of length \code{n}, or a matrix with
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  \item{y}{vector of observations of length \code{n}, or a matrix with
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    \code{n} rows.}
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    \code{n} rows.}
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  \item{w}{vector of weights (length \code{n}) to be used in the fitting
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  \item{w}{vector of weights (length \code{n}) to be used in the fitting
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    process for the \code{wfit} functions.  Weighted least squares is
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    process for the \code{wfit} functions.  Weighted least squares is
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    used with weights \code{w}, i.e., \code{sum(w * e^2)} is minimized.}
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    used with weights \code{w}, i.e., \code{sum(w * e^2)} is minimized.}
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  \item{offset}{numeric of length \code{n}).  This can be used to
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  \item{offset}{(numeric of length \code{n}).  This can be used to
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    specify an \emph{a priori} known component to be included in the
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    specify an \emph{a priori} known component to be included in the
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    linear predictor during fitting.}
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    linear predictor during fitting.}
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  \item{method}{currently, only \code{method = "qr"} is supported.}
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  \item{method}{currently, only \code{method = "qr"} is supported.}
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