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📄 naexcludemvr.rd

📁 做主成分回归和偏最小二乘回归
💻 RD
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\name{naExcludeMvr}\alias{naExcludeMvr}\title{Adjust for Missing Values}\description{  Use missing value information to adjust residuals and predictions.  This is the \sQuote{mvr equivalent} of the \code{naresid.exclude} and  \code{napredict.exclude} functions.}\usage{naExcludeMvr(omit, x, \dots)}%- maybe also 'usage' for other objects documented here.\arguments{  \item{omit}{an object produced by an \code{na.action} function,    typically the \code{"na.action"} attribute of the result of    \code{na.omit} or \code{na.exclude}.}  \item{x}{a three-dimensional array to be adjusted based upon the    missing value information in \code{omit}.}  \item{\dots}{further arguments.  Currently not used.}}\details{  This is a utility function used to allow \code{predict.mvr} and  \code{residuals.mvr} to compensate for the removal of \code{NA}s in  the fitting process.  It is called only when the \code{na.action} is \code{na.exclude}, and  pads \code{x} with \code{NA}s in the correct positions to have the  same number of rows as the original data frame.}\value{  \code{x}, padded with \code{NA}s along the first dimension  (\sQuote{rows}).}\author{Bj鴕n-Helge Mevik and Ron Wehrens}\seealso{\code{\link{predict.mvr}}, \code{\link{residuals.mvr}},  \code{\link{napredict}}, \code{\link{naresid}}}\keyword{regression}\keyword{multivariate}\keyword{internal}

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