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#' Result of the fit using the nest database with weight
#' @title Fit using the nest database with weight
#' @author Marc Girondot \email{marc.girondot@@universite-paris-saclay.fr}
#' @docType data
#' @name resultNest_4p_weight
#' @encoding UTF-8
#' @description Fit using the nest database with weight
#' @references Girondot, M., & Kaska, Y. (2014). A model to predict
#' the thermal reaction norm for the embryo growth rate
#' from field data. Journal of Thermal Biology, 45, 96-102.
#' doi: 10.1016/j.jtherbio.2014.08.005
#' @keywords datasets
#' @usage resultNest_4p_weight
#' @examples
#' \dontrun{
#' library(embryogrowth)
#' data(nest)
#' formated <- FormatNests(nest)
#' w <- weightmaxentropy(formated, control_plot=list(xlim=c(20,36)))
#' x <- structure(c(118.768297442004, 475.750095909406, 306.243694918151,
#' 116.055824800264), .Names = c("DHA", "DHH", "T12H", "Rho25"))
#' # pfixed <- c(K=82.33) or rK=82.33/39.33
#' pfixed <- c(rK=2.093313)
#' # K or rK are not used for integral.linear or integral.exponential
#' resultNest_4p_weight <- searchR(parameters=x,
#' fixed.parameters=pfixed, temperatures=formated,
#' integral=integral.Gompertz, M0=1.7, hatchling.metric=c(Mean=39.33, SD=1.92),
#' method = "BFGS", weight=w)
#' data(resultNest_4p_weight)
#' plotR(resultNest_4p_weight, ylim=c(0,0.50), xlim=c(15, 35))
#' }
#' @format A list with fitted information about data(nest)
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