R/colon.R

In plsRbeta: Partial Least Squares Regression for Beta Regression Models

#' @title Tumor rate and spectral data
#' 
#' @description This dataset feature tumor rate data with spectral data descriptors. It is used as an example in the second vignette of the package.
#' 
#' @name colon
#' @docType data
#' @format A data frame with 80 observations on the following 180 variables.
#' \describe{ \item{X..Tumor.Cells}{a numeric vector}
#' \item{X4.69499969}{a numeric vector} \item{X4.68499947}{a
#' numeric vector} \item{X4.67499971}{a numeric vector}
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#' numeric vector} \item{X4.55499983}{a numeric vector}
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#' numeric vector} \item{X4.52499962}{a numeric vector}
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#' numeric vector} \item{X4.49499989}{a numeric vector}
#' \item{X4.48499966}{a numeric vector} \item{X4.4749999}{a
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#' numeric vector} \item{X4.37499952}{a numeric vector}
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#' numeric vector} \item{X4.34499979}{a numeric vector}
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#' \item{X3.94499969}{a numeric vector} \item{X3.9349997}{a
#' numeric vector} \item{X3.92499971}{a numeric vector}
#' \item{X3.91499972}{a numeric vector} \item{X3.90499973}{a
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#' \item{X3.88499975}{a numeric vector} \item{X3.87499976}{a
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#' \item{X3.85499978}{a numeric vector} \item{X3.84499979}{a
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#' \item{X3.64499974}{a numeric vector} \item{X3.63499975}{a
#' numeric vector} \item{X3.62499976}{a numeric vector}
#' \item{X3.61499977}{a numeric vector} \item{X3.60499978}{a
#' numeric vector} \item{X3.59499979}{a numeric vector}
#' \item{X3.5849998}{a numeric vector} \item{X3.57499981}{a
#' numeric vector} \item{X3.56499982}{a numeric vector}
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#' numeric vector} \item{X3.53499961}{a numeric vector}
#' \item{X3.52499962}{a numeric vector} \item{X3.51499963}{a
#' numeric vector} \item{X3.50499964}{a numeric vector}
#' \item{X3.49499965}{a numeric vector} \item{X3.48499966}{a
#' numeric vector} \item{X3.47499967}{a numeric vector}
#' \item{X3.46499968}{a numeric vector} \item{X3.45499969}{a
#' numeric vector} \item{X3.44499969}{a numeric vector}
#' \item{X3.4349997}{a numeric vector} \item{X3.42499971}{a
#' numeric vector} \item{X3.41499972}{a numeric vector}
#' \item{X3.40499973}{a numeric vector} \item{X3.39499974}{a
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#' numeric vector} \item{X3.26499963}{a numeric vector}
#' \item{X3.25499964}{a numeric vector} \item{X3.24499965}{a
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#' numeric vector} \item{X3.17499971}{a numeric vector}
#' \item{X3.16499972}{a numeric vector} \item{X3.15499973}{a
#' numeric vector} \item{X3.14499974}{a numeric vector}
#' \item{X3.13499975}{a numeric vector} \item{X3.12499976}{a
#' numeric vector} \item{X3.11499977}{a numeric vector}
#' \item{X3.10499978}{a numeric vector} \item{X3.09499979}{a
#' numeric vector} \item{X3.0849998}{a numeric vector}
#' \item{X3.07499981}{a numeric vector} \item{X3.06499982}{a
#' numeric vector} \item{X3.05499983}{a numeric vector}
#' \item{X3.04499984}{a numeric vector} \item{X3.03499985}{a
#' numeric vector} \item{X3.02499962}{a numeric vector}
#' \item{X3.01499963}{a numeric vector} \item{X3.00499964}{a
#' numeric vector} \item{X2.99499965}{a numeric vector}
#' \item{X2.98499966}{a numeric vector} \item{X2.97499967}{a
#' numeric vector} \item{X2.96499968}{a numeric vector}
#' \item{X2.95499969}{a numeric vector} \item{X2.94499969}{a
#' numeric vector} \item{X2.9349997}{a numeric vector}
#' \item{X2.92499971}{a numeric vector} \item{X2.91499972}{a
#' numeric vector} }
#' @references Régression Bêta PLS. (French) [PLS Beta regression.], 
#' F. Bertrand, N. Meyer, M. Beau-Faller, K. El Bayed, N. Izzie-J., 
#' M. Maumy-Bertrand, (2013), J. SFdS, 154(3):143-159 \cr
#' 
#' Partial Least Squares Regression for Beta Regression Models. 
#' F. Bertrand, M. Maumy (2021). useR! 2021, Zurich.\cr 
#' 
#' @keywords datasets
#' @examples
#' 
#' data(colon)
#' str(colon)
#' 
"colon"