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% File src/library/stats/man/loess.Rd
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% File src/library/stats/man/loess.Rd
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% Part of the R package, https://www.R-project.org
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% Part of the R package, https://www.R-project.org
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% Copyright 1995-2012 R Core Team
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% Copyright 1995-2015 R Core Team
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% Distributed under GPL 2 or later
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% Distributed under GPL 2 or later
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\name{loess}
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\name{loess}
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\alias{loess}
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\alias{loess}
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\title{Local Polynomial Regression Fitting}
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\title{Local Polynomial Regression Fitting}
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    predictors?  Terms are specified in the same way as for
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    predictors?  Terms are specified in the same way as for
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    \code{parametric}.}
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    \code{parametric}.}
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  \item{normalize}{should the predictors be normalized to a common scale
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  \item{normalize}{should the predictors be normalized to a common scale
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    if there is more than one?  The normalization used is to set the
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    if there is more than one?  The normalization used is to set the
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    10\% trimmed standard deviation to one.  Set to false for spatial
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    10\% trimmed standard deviation to one.  Set to false for spatial
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    coordinate predictors and others know to be a common scale.}
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    coordinate predictors and others known to be on a common scale.}
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  \item{family}{if \code{"gaussian"} fitting is by least-squares, and if
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  \item{family}{if \code{"gaussian"} fitting is by least-squares, and if
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    \code{"symmetric"} a re-descending M estimator is used with Tukey's
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    \code{"symmetric"} a re-descending M estimator is used with Tukey's
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    biweight function.  Can be abbreviated.}
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    biweight function.  Can be abbreviated.}
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  \item{method}{fit the model or just extract the model frame.  Can be abbreviated.}
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  \item{method}{fit the model or just extract the model frame.  Can be abbreviated.}
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  \item{control}{control parameters: see \code{\link{loess.control}}.}
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  \item{control}{control parameters: see \code{\link{loess.control}}.}
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  \item{\dots}{control parameters can also be supplied directly.}
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  \item{\dots}{control parameters can also be supplied directly
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    (\emph{if} \code{control} is not specified).}
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}
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}
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\description{
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\description{
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  Fit a polynomial surface determined by one or more numerical
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  Fit a polynomial surface determined by one or more numerical
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  predictors, using local fitting.
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  predictors, using local fitting.
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}
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}
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  It can be important to tune the control list to achieve acceptable
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  It can be important to tune the control list to achieve acceptable
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  speed.  See \code{\link{loess.control}} for details.
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  speed.  See \code{\link{loess.control}} for details.
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}
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}
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\value{
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\value{
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  An object of class \code{"loess"}.
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  An object of class \code{"loess"}.% otherwise entirely unspecified (!)
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}
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}
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\references{
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\references{
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  W. S. Cleveland, E. Grosse and W. M. Shyu (1992) Local regression
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  W. S. Cleveland, E. Grosse and W. M. Shyu (1992) Local regression
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  models. Chapter 8 of \emph{Statistical Models in S} eds J.M. Chambers
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  models. Chapter 8 of \emph{Statistical Models in S} eds J.M. Chambers
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  and T.J. Hastie, Wadsworth & Brooks/Cole.
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  and T.J. Hastie, Wadsworth & Brooks/Cole.