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\name{predict.nls}
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\name{predict.nls}
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\title{Predicting from Nonlinear Least Squares Fits}
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\title{Predicting from Nonlinear Least Squares Fits}
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\alias{predict.nls}
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\alias{predict.nls}
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\usage{
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\usage{
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\method{predict}{nls}(object, newdata , se.fit = FALSE, scale = NULL, df = Inf,
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\method{predict}{nls}(object, newdata , se.fit = FALSE, scale = NULL, df = Inf,
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        interval = c("none", "confidence", "prediction"),
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        interval = c("none", "confidence", "prediction"),
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        level = 0.95, \dots)
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        level = 0.95, \dots)
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}
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}
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\description{
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\description{
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  \code{predict.nls} produces predicted values, obtained by evaluating
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  \code{predict.nls} produces predicted values, obtained by evaluating
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 \item{interval}{A character string indicating if prediction intervals
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 \item{interval}{A character string indicating if prediction intervals
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   or a confidence interval on the mean responses are to be
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   or a confidence interval on the mean responses are to be
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   calculated. At present this argument is ignored.}
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   calculated. At present this argument is ignored.}
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 \item{level}{A numeric scalar between 0 and 1 giving the confidence
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 \item{level}{A numeric scalar between 0 and 1 giving the confidence
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   level for the intervals (if any) to be calculated.  At present
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   level for the intervals (if any) to be calculated.  At present
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   this argument is ignored.}
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   this argument is ignored.}
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 \item{\dots}{Additional optional arguments.  At present no optional
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 \item{\dots}{Additional optional arguments.  At present no optional
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   arguments are used.}
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   arguments are used.}
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}
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}
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\value{
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\value{
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  \code{predict.nls} produces a vector of predictions.
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  \code{predict.nls} produces a vector of predictions.