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  "Title": "Robust Multivariate Methods for High Dimensional Data",
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  "Authors@R": "c(person(\"Valentin\", \"Todorov\", role = c(\"aut\", \"cre\"), email = \"valentin.todorov@chello.at\", comment=c(ORCID = \"0000-0003-4215-0245\")))",
  "Description": "Robust multivariate methods for high dimensional data\nincluding outlier detection (Filzmoser and Todorov (2013)\n<doi:10.1016/j.ins.2012.10.017>), robust sparse PCA (Croux et\nal. (2013) <doi:10.1080/00401706.2012.727746>, Todorov and\nFilzmoser (2013) <doi:10.1007/978-3-642-33042-1_31>), robust\nPLS (Todorov and Filzmoser (2014) <doi:10.17713/ajs.v43i4.44>),\nand robust sparse classification (Ortner et al. (2020)\n<doi:10.1007/s10618-019-00666-8>).",
  "Maintainer": "Valentin Todorov <valentin.todorov@chello.at>",
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  "Author": "Valentin Todorov [aut, cre]\n(<https://orcid.org/0000-0003-4215-0245>)",
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      "date": "2012-07-24"
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      "date": "2013-04-01"
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    {
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    "getClassLabels",
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    "getFlag",
    "getOutliers",
    "getQuan",
    "getWeight",
    "OutlierMahdist",
    "OutlierPCDist",
    "OutlierPCOut",
    "OutlierSign1",
    "OutlierSign2",
    "RSimca",
    "SosDiscRobust",
    "SPcaGrid"
  ],
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      "title": "1985 Auto Imports Database",
      "object": "kibler",
      "class": [
        "data.frame"
      ],
      "fields": [
        "symboling",
        "wheel-base",
        "length",
        "width",
        "height",
        "curb-weight",
        "bore",
        "stroke",
        "compression-ratio",
        "horsepower",
        "peak-rpm",
        "city-mpg",
        "highway-mpg",
        "price"
      ],
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      "table": true,
      "tojson": true
    },
    {
      "name": "kibler.orig",
      "title": "1985 Auto Imports Database",
      "object": "kibler",
      "class": [
        "data.frame"
      ],
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        "normalized-losses",
        "make",
        "fuel-type",
        "aspiration",
        "num-of-doors",
        "body-style",
        "drive-wheels",
        "engine-location",
        "wheel-base",
        "length",
        "width",
        "height",
        "curb-weight",
        "engine-type",
        "num-of-cylinders",
        "engine-size",
        "fuel-system",
        "bore",
        "stroke",
        "compression-ratio",
        "horsepower",
        "peak-rpm",
        "city-mpg",
        "highway-mpg",
        "price",
        "symboling"
      ],
      "rows": 205,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "CSimca",
      "title": "Classification in high dimensions based on the (classical) SIMCA method",
      "topics": [
        "CSimca",
        "CSimca.default",
        "CSimca.formula"
      ]
    },
    {
      "page": "CSimca-class",
      "title": "Class '\"CSimca\"' - classification in high dimensions based on the (classical) SIMCA method",
      "topics": [
        "CSimca-class"
      ]
    },
    {
      "page": "getWeight-methods",
      "title": "Accessor methods to the essential slots of 'Outlier' and its subclasses",
      "topics": [
        "getClassLabels",
        "getClassLabels-methods",
        "getCutoff",
        "getCutoff-methods",
        "getOutliers",
        "getOutliers-methods",
        "getWeight",
        "getWeight-methods"
      ]
    },
    {
      "page": "kibler",
      "title": "1985 Auto Imports Database",
      "topics": [
        "kibler",
        "kibler.orig"
      ]
    },
    {
      "page": "Outlier-class",
      "title": "Class '\"Outlier\"' - a base class for outlier identification",
      "topics": [
        "getClassLabels,Outlier-method",
        "getDistance,Outlier-method",
        "getFlag,Outlier-method",
        "getOutliers,Outlier-method",
        "getWeight,Outlier-method",
        "Outlier-class",
        "plot,Outlier,missing-method",
        "show,Outlier-method"
      ]
    },
    {
      "page": "OutlierMahdist",
      "title": "Outlier identification using robust (mahalanobis) distances based on robust multivariate location and covariance matrix",
      "topics": [
        "OutlierMahdist",
        "OutlierMahdist.default",
        "OutlierMahdist.formula"
      ]
    },
    {
      "page": "OutlierMahdist-class",
      "title": "Class 'OutlierMahdist' - Outlier identification using robust (mahalanobis) distances based on robust multivariate location and covariance matrix",
      "topics": [
        "getCutoff,OutlierMahdist-method",
        "getDistance,OutlierMahdist-method",
        "OutlierMahdist-class"
      ]
    },
    {
      "page": "OutlierPCDist",
      "title": "Outlier identification in high dimensions using the PCDIST algorithm",
      "topics": [
        "OutlierPCDist",
        "OutlierPCDist.default",
        "OutlierPCDist.formula"
      ]
    },
    {
      "page": "OutlierPCDist-class",
      "title": "Class '\"OutlierPCDist\"' - Outlier identification in high dimensions using using the PCDIST algorithm",
      "topics": [
        "getCutoff,OutlierPCDist-method",
        "getDistance,OutlierPCDist-method",
        "OutlierPCDist-class"
      ]
    },
    {
      "page": "OutlierPCOut",
      "title": "Outlier identification in high dimensions using the PCOUT algorithm",
      "topics": [
        "OutlierPCOut",
        "OutlierPCOut.default",
        "OutlierPCOut.formula"
      ]
    },
    {
      "page": "OutlierPCOut-class",
      "title": "Class '\"OutlierPCOut\"' - Outlier identification in high dimensions using using the PCOUT algorithm",
      "topics": [
        "getCutoff,OutlierPCOut-method",
        "getDistance,OutlierPCOut-method",
        "OutlierPCOut-class",
        "plot,OutlierPCOut,missing-method"
      ]
    },
    {
      "page": "OutlierSign1",
      "title": "Outlier identification in high dimensions using the SIGN1 algorithm",
      "topics": [
        "OutlierSign1",
        "OutlierSign1.default",
        "OutlierSign1.formula"
      ]
    },
    {
      "page": "OutlierSign1-class",
      "title": "Class '\"OutlierSign1\"' - Outlier identification in high dimensions using the SIGN1 algorithm",
      "topics": [
        "getCutoff,OutlierSign1-method",
        "getDistance,OutlierSign1-method",
        "OutlierSign1-class"
      ]
    },
    {
      "page": "OutlierSign2",
      "title": "Outlier identification in high dimensions using the SIGN2 algorithm",
      "topics": [
        "OutlierSign2",
        "OutlierSign2.default",
        "OutlierSign2.formula"
      ]
    },
    {
      "page": "OutlierSign2-class",
      "title": "Class '\"OutlierSign2\"' - Outlier identification in high dimensions using the SIGN2 algorithm",
      "topics": [
        "getCutoff,OutlierSign2-method",
        "getDistance,OutlierSign2-method",
        "OutlierSign2-class"
      ]
    },
    {
      "page": "PredictSimca-class",
      "title": "Class '\"PredictSimca\"' - prediction of '\"Simca\"' objects",
      "topics": [
        "PredictSimca-class",
        "show,PredictSimca-method"
      ]
    },
    {
      "page": "PredictSosDisc-class",
      "title": "Class '\"PredictSosDisc\"' - prediction of '\"SosDisc\"' objects",
      "topics": [
        "PredictSosDisc-class",
        "show,PredictSosDisc-method"
      ]
    },
    {
      "page": "RSimca",
      "title": "Robust classification in high dimensions based on the SIMCA method",
      "topics": [
        "RSimca",
        "RSimca.default",
        "RSimca.formula"
      ]
    },
    {
      "page": "RSimca-class",
      "title": "Class '\"RSimca\" - robust classification in high dimensions based on the SIMCA method'",
      "topics": [
        "RSimca-class"
      ]
    },
    {
      "page": "Simca-class",
      "title": "Class '\"Simca\"' - virtual base class for all classic and robust SIMCA classes representing classification in high dimensions based on the SIMCA method",
      "topics": [
        "predict,Simca-method",
        "show,Simca-method",
        "Simca-class",
        "summary,Simca-method"
      ]
    },
    {
      "page": "SosDisc-class",
      "title": "Class '\"SosDisc\"' - virtual base class for all classic and robust SosDisc classes representing the results of the robust and sparse multigroup classification by the optimal scoring approach",
      "topics": [
        "predict, SosDisc-method",
        "show, SosDisc-method",
        "SosDisc-class",
        "summary, SosDisc-method"
      ]
    },
    {
      "page": "SosDiscClassic-class",
      "title": "Class 'SosDiscClassic' - sparse multigroup classification by the optimal scoring approach",
      "topics": [
        "SosDiscClassic-class"
      ]
    },
    {
      "page": "SosDiscRobust",
      "title": "Robust and sparse multigroup classification by the optimal scoring approach",
      "topics": [
        "SosDiscRobust",
        "SosDiscRobust.default",
        "SosDiscRobust.formula"
      ]
    },
    {
      "page": "SosDiscRobust-class",
      "title": "Class 'SosDiscRobust' - robust and sparse multigroup classification by the optimal scoring approach",
      "topics": [
        "SosDiscRobust-class"
      ]
    },
    {
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      "title": "Sparse Robust Principal Components based on Projection Pursuit (PP): GRID search Algorithm",
      "topics": [
        "SPcaGrid",
        "SPcaGrid.default",
        "SPcaGrid.formula"
      ]
    },
    {
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      "title": "Class 'SPcaGrid' - Sparse Robust PCA using PP - GRID search Algorithm",
      "topics": [
        "getQuan,SPcaGrid-method",
        "SPcaGrid-class"
      ]
    },
    {
      "page": "SummarySimca-class",
      "title": "Class '\"SummarySimca\"' - summary of '\"Simca\"' objects",
      "topics": [
        "show,SummarySimca-method",
        "SummarySimca-class"
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      "topics": [
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