{
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  "Package": "SCOUTer",
  "Title": "Simulate Controlled Outliers",
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  "Description": "Using principal component analysis as a base model,\n'SCOUTer' offers a new approach to simulate outliers in a\nsimple and precise way. The user can generate new observations\ndefining them by a pair of well-known statistics: the Squared\nPrediction Error (SPE) and the Hotelling's T^2 (T^2)\nstatistics. Just by introducing the target values of the SPE\nand T^2, 'SCOUTer' returns a new set of observations with the\ndesired target properties. Authors: Alba González, Abel\nFolch-Fortuny, Francisco Arteaga and Alberto Ferrer (2020).",
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  "Encoding": "UTF-8",
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  "Repository": "https://cran.r-universe.dev",
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