{
  "_id": "6a1fd1a6b401979e734356eb",
  "Package": "dimensio",
  "Title": "Multivariate Data Analysis",
  "Version": "0.14.1.9000",
  "Authors@R": "c(\nperson(\"Nicolas\", \"Frerebeau\", , \"nicolas.frerebeau@u-bordeaux-montaigne.fr\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0001-5759-4944\")),\nperson(\"Jean-Baptiste\", \"Fourvel\", , \"jean-baptiste.fourvel@univ-amu.fr\", role = \"ctb\",\ncomment = c(ORCID = \"0000-0002-1061-4642\")),\nperson(\"Camille\", \"Thabard\", , \"camille.thabard@univ-tlse2.fr\", role = \"ctb\",\ncomment = c(ORCID = \"0000-0002-3196-7658\")),\nperson(\"Brice\", \"Lebrun\", role = \"art\",\ncomment = c(ORCID = \"0000-0001-7503-8685\", \"Logo designer\")),\nperson(\"Université Bordeaux Montaigne\", role = \"fnd\",\ncomment = c(ROR = \"03pbgwk21\")),\nperson(\"CNRS\", role = \"fnd\",\ncomment = c(ROR = \"02feahw73\"))\n)",
  "Maintainer": "Nicolas Frerebeau\n<nicolas.frerebeau@u-bordeaux-montaigne.fr>",
  "Description": "Simple Principal Components Analysis (PCA) and (Multiple)\nCorrespondence Analysis (CA) based on the Singular Value\nDecomposition (SVD). This package provides S4 classes and\nmethods to compute, extract, summarize and visualize results of\nmultivariate data analysis. It also includes methods for\npartial bootstrap validation described in Greenacre (1984,\nISBN: 978-0-12-299050-2) and Lebart et al. (2006, ISBN:\n978-2-10-049616-7).",
  "License": "GPL (>= 3)",
  "URL": "https://codeberg.org/tesselle/dimensio,\nhttps://packages.tesselle.org/dimensio/,\nhttps://tesselle.r-universe.dev/dimensio",
  "BugReports": "https://codeberg.org/tesselle/dimensio/issues",
  "VignetteBuilder": "knitr",
  "Encoding": "UTF-8",
  "LazyData": "true",
  "Roxygen": "list(markdown = TRUE)",
  "Collate": "'AllClasses.R' 'AllGenerics.R' 'annotations.R' 'augment.R'\n'biplot.R' 'bootstrap.R' 'ca.R' 'coerce.R' 'data.R'\n'dimensio-defunct.R' 'dimensio-deprecated.R'\n'dimensio-internal.R' 'dimensio-package.R' 'export.R'\n'get_contributions.R' 'get_coordinates.R' 'get_correlations.R'\n'get_cos2.R' 'get_data.R' 'get_distances.R' 'get_eigenvalues.R'\n'get_inertia.R' 'get_variance.R' 'mca.R' 'mutators.R' 'pca.R'\n'pcoa.R' 'plot.R' 'predict.R' 'reexport.R' 'screeplot.R'\n'show.R' 'subset.R' 'summary.R' 'svd.R' 'tidy.R' 'tools.R'\n'viz_contributions.R' 'viz_coordinates.R' 'viz_cos2.R'\n'viz_ellipse.R' 'viz_hull.R' 'wrap_ellipses.R' 'wrap_hull.R'\n'zzz.R'",
  "Config/roxygen2/version": "8.0.0",
  "Repository": "https://tesselle.r-universe.dev",
  "Date/Publication": "2026-05-04 13:20:49 UTC",
  "RemoteUrl": "https://codeberg.org/tesselle/dimensio",
  "RemoteRef": "HEAD",
  "RemoteSha": "ff87361cb3f7a7046ca219c2e39321d4616d8a90",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-06-03 06:58:25 UTC",
    "User": "root"
  },
  "Author": "Nicolas Frerebeau [aut, cre] (ORCID:\n<https://orcid.org/0000-0001-5759-4944>),\nJean-Baptiste Fourvel [ctb] (ORCID:\n<https://orcid.org/0000-0002-1061-4642>),\nCamille Thabard [ctb] (ORCID: <https://orcid.org/0000-0002-3196-7658>),\nBrice Lebrun [art] (ORCID: <https://orcid.org/0000-0001-7503-8685>,\nLogo designer),\nUniversité Bordeaux Montaigne [fnd] (ROR: <https://ror.org/03pbgwk21>),\nCNRS [fnd] (ROR: <https://ror.org/02feahw73>)",
  "MD5sum": "c0a6e079a7a8b045d2873e90c3ed3e47",
  "_user": "tesselle",
  "_type": "src",
  "_file": "dimensio_0.14.1.9000.tar.gz",
  "_fileid": "0ffd6f7e85186b81dfb0af9abd05c10706c349fe83ff1d95526c1f5ee87d86ef",
  "_filesize": 1609369,
  "_sha256": "0ffd6f7e85186b81dfb0af9abd05c10706c349fe83ff1d95526c1f5ee87d86ef",
  "_created": "2026-06-03T06:58:25.000Z",
  "_published": "2026-06-03T07:03:02.640Z",
  "_distro": "noble",
  "_jobs": [
    {
      "job": 79239173825,
      "time": 127,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7377797738"
    },
    {
      "job": 79239173626,
      "time": 119,
      "config": "linux-release-x86_64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7377795824"
    },
    {
      "job": 79239173614,
      "time": 103,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7377814284"
    },
    {
      "job": 79239173655,
      "time": 127,
      "config": "macos-release-arm64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7377827387"
    },
    {
      "job": 79238733393,
      "time": 186,
      "config": "source",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7377760889"
    },
    {
      "job": 79239173672,
      "time": 115,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7377794343"
    },
    {
      "job": 79239173633,
      "time": 85,
      "config": "windows-devel",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7377786136"
    },
    {
      "job": 79239173714,
      "time": 84,
      "config": "windows-oldrel",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7377785953"
    },
    {
      "job": 79239173681,
      "time": 87,
      "config": "windows-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7377786534"
    }
  ],
  "_buildurl": "https://github.com/r-universe/tesselle/actions/runs/26868806093",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://codeberg.org/tesselle/dimensio",
  "_commit": {
    "id": "ff87361cb3f7a7046ca219c2e39321d4616d8a90",
    "author": "nfrerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr>",
    "committer": "nfrerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr>",
    "message": "Fix Woodpecker workflows\n",
    "time": 1777900849
  },
  "_maintainer": {
    "name": "Nicolas Frerebeau",
    "email": "nicolas.frerebeau@u-bordeaux-montaigne.fr",
    "login": "nfrerebeau",
    "mastodon": "@nfrerebeau@archaeo.social",
    "orcid": "0000-0001-5759-4944",
    "description": "Archaeologist, research engineer at @crp2a",
    "uuid": 33983845
  },
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 3.5",
      "role": "Depends"
    },
    {
      "package": "arkhe",
      "version": ">= 1.11.0",
      "role": "Imports"
    },
    {
      "package": "graphics",
      "role": "Imports"
    },
    {
      "package": "grDevices",
      "role": "Imports"
    },
    {
      "package": "khroma",
      "version": ">= 1.17.0",
      "role": "Imports"
    },
    {
      "package": "methods",
      "role": "Imports"
    },
    {
      "package": "utils",
      "role": "Imports"
    },
    {
      "package": "fontquiver",
      "role": "Suggests"
    },
    {
      "package": "knitr",
      "role": "Suggests"
    },
    {
      "package": "markdown",
      "role": "Suggests"
    },
    {
      "package": "rsvg",
      "role": "Suggests"
    },
    {
      "package": "svglite",
      "role": "Suggests"
    },
    {
      "package": "tinysnapshot",
      "version": ">= 0.2.0",
      "role": "Suggests"
    },
    {
      "package": "tinytest",
      "role": "Suggests"
    }
  ],
  "_owner": "codeberg-tesselle",
  "_selfowned": true,
  "_usedby": 4,
  "_updates": [
    {
      "week": "2025-23",
      "n": 1
    },
    {
      "week": "2025-34",
      "n": 1
    },
    {
      "week": "2025-35",
      "n": 1
    },
    {
      "week": "2025-36",
      "n": 6
    },
    {
      "week": "2025-39",
      "n": 1
    },
    {
      "week": "2026-19",
      "n": 3
    }
  ],
  "_tags": [
    {
      "name": "v0.14.1",
      "date": "2025-09-03"
    }
  ],
  "_topics": [
    "data-analysis",
    "multivariate-analysis"
  ],
  "_userbio": {
    "uuid": 78033555,
    "type": "organization",
    "name": "tesselle",
    "description": "A collection of R packages for archaeological research and teaching"
  },
  "_downloads": {
    "count": 251,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/dimensio"
  },
  "_devurl": "https://codeberg.org/tesselle/dimensio",
  "_pkgdown": "https://packages.tesselle.org/dimensio/",
  "_searchresults": 7,
  "_rbuild": "4.6.0",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/dimensio.html",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md",
    "manual.pdf"
  ],
  "_homeurl": "https://codeberg.org/tesselle/dimensio",
  "_realowner": "nfrerebeau",
  "_cranurl": true,
  "_releases": [
    {
      "version": "0.2.0",
      "date": "2021-04-22"
    },
    {
      "version": "0.2.1",
      "date": "2021-05-17"
    },
    {
      "version": "0.2.2",
      "date": "2021-09-18"
    },
    {
      "version": "0.3.0",
      "date": "2022-08-15"
    },
    {
      "version": "0.3.1",
      "date": "2023-04-04"
    },
    {
      "version": "0.4.0",
      "date": "2023-08-24"
    },
    {
      "version": "0.4.1",
      "date": "2023-10-19"
    },
    {
      "version": "0.5.0",
      "date": "2023-11-24"
    },
    {
      "version": "0.6.0",
      "date": "2024-02-23"
    },
    {
      "version": "0.7.0",
      "date": "2024-04-09"
    },
    {
      "version": "0.8.0",
      "date": "2024-06-07"
    },
    {
      "version": "0.8.1",
      "date": "2024-07-30"
    },
    {
      "version": "0.9.0",
      "date": "2024-08-26"
    },
    {
      "version": "0.10.0",
      "date": "2024-11-08"
    },
    {
      "version": "0.10.1",
      "date": "2024-12-10"
    },
    {
      "version": "0.11.0",
      "date": "2025-01-09"
    },
    {
      "version": "0.12.0",
      "date": "2025-02-25"
    },
    {
      "version": "0.13.0",
      "date": "2025-04-02"
    },
    {
      "version": "0.14.0",
      "date": "2025-05-20"
    },
    {
      "version": "0.14.1",
      "date": "2025-09-03"
    }
  ],
  "_exports": [
    "as.data.frame",
    "augment",
    "biplot",
    "bootstrap",
    "burt",
    "ca",
    "cdt",
    "colnames",
    "color",
    "describe",
    "export",
    "get_contributions",
    "get_coordinates",
    "get_correlations",
    "get_cos2",
    "get_data",
    "get_distances",
    "get_eigenvalues",
    "get_inertia",
    "get_replications",
    "get_variance",
    "label",
    "mca",
    "palette_color_continuous",
    "palette_color_discrete",
    "palette_color_picker",
    "palette_line",
    "palette_shape",
    "palette_size_sequential",
    "pca",
    "pcoa",
    "plot",
    "plot_columns",
    "plot_contributions",
    "plot_cos2",
    "plot_individuals",
    "plot_rows",
    "plot_variables",
    "plot_variance",
    "predict",
    "rownames",
    "screeplot",
    "summary",
    "tidy",
    "viz_columns",
    "viz_confidence",
    "viz_contributions",
    "viz_cos2",
    "viz_ellipses",
    "viz_hull",
    "viz_individuals",
    "viz_rows",
    "viz_tolerance",
    "viz_variables",
    "wrap_confidence",
    "wrap_hull",
    "wrap_tolerance"
  ],
  "_datasets": [
    {
      "name": "benthos",
      "title": "Benthos",
      "object": "benthos",
      "class": [
        "data.frame"
      ],
      "fields": [
        "S4",
        "S8",
        "S9",
        "S12",
        "S13",
        "S14",
        "S15",
        "S18",
        "S19",
        "S23",
        "S24",
        "R40",
        "R42"
      ],
      "rows": 92,
      "table": true,
      "tojson": true
    },
    {
      "name": "colours",
      "title": "Colours",
      "object": "colours",
      "class": [
        "data.frame"
      ],
      "fields": [
        "brun",
        "chatain",
        "roux",
        "blond"
      ],
      "rows": 4,
      "table": true,
      "tojson": true
    },
    {
      "name": "countries",
      "title": "Countries",
      "object": "countries",
      "class": [
        "data.frame"
      ],
      "fields": [
        "living",
        "climate",
        "food",
        "security",
        "hospitality",
        "infrastructure"
      ],
      "rows": 13,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "benthos",
      "title": "Benthos",
      "concept": [
        "datasets"
      ],
      "topics": [
        "benthos"
      ]
    },
    {
      "page": "biplot",
      "title": "Biplot",
      "concept": [
        "plot methods"
      ],
      "topics": [
        "biplot",
        "biplot,CA-method",
        "biplot,PCA-method"
      ]
    },
    {
      "page": "bootstrap",
      "title": "Partial Bootstrap Analysis",
      "concept": [
        "resampling methods"
      ],
      "topics": [
        "bootstrap",
        "bootstrap,CA-method",
        "bootstrap,PCA-method"
      ]
    },
    {
      "page": "burt",
      "title": "Burt Table",
      "concept": [
        "tools"
      ],
      "topics": [
        "burt",
        "burt,data.frame-method",
        "burt-method"
      ]
    },
    {
      "page": "ca",
      "title": "Correspondence Analysis",
      "concept": [
        "multivariate analysis"
      ],
      "topics": [
        "ca",
        "ca,data.frame-method",
        "ca,matrix-method",
        "ca-method"
      ]
    },
    {
      "page": "cdt",
      "title": "Complete Disjunctive Table",
      "concept": [
        "tools"
      ],
      "topics": [
        "cdt",
        "cdt,data.frame-method",
        "cdt,matrix-method",
        "cdt-method"
      ]
    },
    {
      "page": "colours",
      "title": "Colours",
      "concept": [
        "datasets"
      ],
      "topics": [
        "colours"
      ]
    },
    {
      "page": "countries",
      "title": "Countries",
      "concept": [
        "datasets"
      ],
      "topics": [
        "countries"
      ]
    },
    {
      "page": "describe",
      "title": "Object Description",
      "concept": [
        "summary"
      ],
      "topics": [
        "describe",
        "describe,CA-method",
        "describe,PCA-method"
      ]
    },
    {
      "page": "dimnames",
      "title": "Dimnames of an Object",
      "concept": [
        "mutators"
      ],
      "topics": [
        "colnames,MultivariateAnalysis-method",
        "dim,MultivariateAnalysis-method",
        "dimnames",
        "dimnames,MultivariateAnalysis-method",
        "rownames,MultivariateAnalysis-method"
      ]
    },
    {
      "page": "export",
      "title": "Export Results",
      "concept": [
        "getters"
      ],
      "topics": [
        "export",
        "export,MultivariateAnalysis-method",
        "export,PCOA-method",
        "export-method"
      ]
    },
    {
      "page": "get_contributions",
      "title": "Get Contributions",
      "concept": [
        "getters"
      ],
      "topics": [
        "get_contributions",
        "get_contributions,MultivariateAnalysis-method",
        "get_contributions-method",
        "get_correlations",
        "get_correlations,PCA-method",
        "get_correlations-method",
        "get_cos2",
        "get_cos2,MultivariateAnalysis-method",
        "get_cos2-method"
      ]
    },
    {
      "page": "get_coordinates",
      "title": "Get Coordinates",
      "concept": [
        "getters"
      ],
      "topics": [
        "get_coordinates",
        "get_coordinates,MultivariateAnalysis-method",
        "get_coordinates,PCOA-method",
        "get_coordinates-method",
        "get_replications",
        "get_replications,BootstrapPCA-method",
        "get_replications,MultivariateBootstrap-method",
        "get_replications-method"
      ]
    },
    {
      "page": "get_data",
      "title": "Get Original Data",
      "concept": [
        "getters"
      ],
      "topics": [
        "get_data",
        "get_data,MultivariateAnalysis-method",
        "get_data-method"
      ]
    },
    {
      "page": "get_eigenvalues",
      "title": "Get Eigenvalues",
      "concept": [
        "getters"
      ],
      "topics": [
        "get_distances",
        "get_distances,MultivariateAnalysis-method",
        "get_distances-method",
        "get_eigenvalues",
        "get_eigenvalues,MultivariateAnalysis-method",
        "get_eigenvalues,PCOA-method",
        "get_eigenvalues-method",
        "get_inertia",
        "get_inertia,MultivariateAnalysis-method",
        "get_inertia-method",
        "get_variance",
        "get_variance,MultivariateAnalysis-method",
        "get_variance-method"
      ]
    },
    {
      "page": "mca",
      "title": "Multiple Correspondence Analysis",
      "concept": [
        "multivariate analysis"
      ],
      "topics": [
        "mca",
        "mca,data.frame-method",
        "mca,matrix-method",
        "mca-method"
      ]
    },
    {
      "page": "pca",
      "title": "Principal Components Analysis",
      "concept": [
        "multivariate analysis"
      ],
      "topics": [
        "pca",
        "pca,data.frame-method",
        "pca,matrix-method",
        "pca-method"
      ]
    },
    {
      "page": "pcoa",
      "title": "Principal Coordinates Analysis",
      "concept": [
        "multivariate analysis"
      ],
      "topics": [
        "pcoa",
        "pcoa,dist-method",
        "pcoa-method"
      ]
    },
    {
      "page": "plot",
      "title": "Plot Coordinates",
      "concept": [
        "plot methods"
      ],
      "topics": [
        "plot",
        "plot,PCOA,missing-method"
      ]
    },
    {
      "page": "predict",
      "title": "Predict New Coordinates",
      "concept": [
        "multivariate analysis"
      ],
      "topics": [
        "predict",
        "predict,CA-method",
        "predict,MCA-method",
        "predict,PCA-method"
      ]
    },
    {
      "page": "screeplot",
      "title": "Scree Plot",
      "concept": [
        "plot methods"
      ],
      "topics": [
        "screeplot",
        "screeplot,MultivariateAnalysis-method",
        "screeplot,PCOA-method",
        "screeplot-method"
      ]
    },
    {
      "page": "subset",
      "title": "Extract Parts of an Object",
      "concept": [
        "mutators"
      ],
      "topics": [
        "subset",
        "[[,CA,ANY,missing-method",
        "[[,PCA,ANY,missing-method"
      ]
    },
    {
      "page": "summary",
      "title": "Object Summaries",
      "concept": [
        "summary"
      ],
      "topics": [
        "as.data.frame,MultivariateSummary-method",
        "summary",
        "summary,CA-method",
        "summary,PCA-method"
      ]
    },
    {
      "page": "tidy",
      "title": "Tidy Coordinates",
      "concept": [
        "summary"
      ],
      "topics": [
        "augment",
        "augment,MultivariateAnalysis-method",
        "augment-method",
        "tidy",
        "tidy,MultivariateAnalysis-method",
        "tidy-method"
      ]
    },
    {
      "page": "viz_confidence",
      "title": "Confidence Ellipses",
      "concept": [
        "envelopes"
      ],
      "topics": [
        "viz_confidence",
        "viz_confidence,MultivariateAnalysis,missing-method",
        "viz_confidence,MultivariateBootstrap,missing-method",
        "viz_confidence,numeric,numeric-method",
        "viz_confidence,PCOA,missing-method",
        "viz_confidence-method",
        "wrap_confidence",
        "wrap_confidence,MultivariateAnalysis,missing-method",
        "wrap_confidence,numeric,numeric-method",
        "wrap_confidence,PCOA,missing-method",
        "wrap_confidence-method"
      ]
    },
    {
      "page": "viz_contributions",
      "title": "Visualize Contributions and cos2",
      "concept": [
        "plot methods"
      ],
      "topics": [
        "viz_contributions",
        "viz_contributions,MultivariateAnalysis-method",
        "viz_contributions-method",
        "viz_cos2",
        "viz_cos2,MultivariateAnalysis-method",
        "viz_cos2-method"
      ]
    },
    {
      "page": "viz_ellipses",
      "title": "Ellipses",
      "concept": [
        "envelopes"
      ],
      "topics": [
        "viz_ellipses",
        "viz_ellipses,MultivariateAnalysis,missing-method",
        "viz_ellipses,numeric,numeric-method",
        "viz_ellipses,PCOA,missing-method",
        "viz_ellipses-method"
      ]
    },
    {
      "page": "viz_hull",
      "title": "Convex Hulls",
      "concept": [
        "envelopes"
      ],
      "topics": [
        "viz_hull",
        "viz_hull,MultivariateAnalysis,missing-method",
        "viz_hull,MultivariateBootstrap,missing-method",
        "viz_hull,numeric,numeric-method",
        "viz_hull,PCOA,missing-method",
        "viz_hull-method",
        "wrap_hull",
        "wrap_hull,MultivariateAnalysis,missing-method",
        "wrap_hull,numeric,numeric-method",
        "wrap_hull,PCOA,missing-method",
        "wrap_hull-method"
      ]
    },
    {
      "page": "viz_individuals",
      "title": "Visualize Individuals Factor Map",
      "concept": [
        "plot methods"
      ],
      "topics": [
        "viz_individuals",
        "viz_individuals,PCA-method",
        "viz_individuals-method",
        "viz_rows",
        "viz_rows,BootstrapCA-method",
        "viz_rows,MultivariateAnalysis-method",
        "viz_rows-method"
      ]
    },
    {
      "page": "viz_tolerance",
      "title": "Tolerance Ellipses",
      "concept": [
        "envelopes"
      ],
      "topics": [
        "viz_tolerance",
        "viz_tolerance,MultivariateAnalysis,missing-method",
        "viz_tolerance,MultivariateBootstrap,missing-method",
        "viz_tolerance,numeric,numeric-method",
        "viz_tolerance,PCOA,missing-method",
        "viz_tolerance-method",
        "wrap_tolerance",
        "wrap_tolerance,MultivariateAnalysis,missing-method",
        "wrap_tolerance,numeric,numeric-method",
        "wrap_tolerance,PCOA,missing-method",
        "wrap_tolerance-method"
      ]
    },
    {
      "page": "viz_variables",
      "title": "Visualize Variables Factor Map",
      "concept": [
        "plot methods"
      ],
      "topics": [
        "viz_columns",
        "viz_columns,MultivariateAnalysis-method",
        "viz_columns,MultivariateBootstrap-method",
        "viz_columns-method",
        "viz_variables",
        "viz_variables,BootstrapPCA-method",
        "viz_variables,CA-method",
        "viz_variables,PCA-method",
        "viz_variables-method"
      ]
    }
  ],
  "_pkglogo": "https://codeberg.org/tesselle/dimensio/raw/HEAD/man/figures/logo.png",
  "_readme": "https://codeberg.org/tesselle/dimensio/raw/HEAD/README.md",
  "_rundeps": [
    "arkhe",
    "khroma"
  ],
  "_vignettes": [
    {
      "source": "pca.Rmd",
      "filename": "pca.html",
      "title": "Principal Components Analysis",
      "engine": "knitr::knitr",
      "headings": [
        "Do PCA",
        "Explore the results",
        "PCA biplot",
        "Plot PCA loadings",
        "Plot PCA scores",
        "Custom plot",
        "References"
      ],
      "created": "2023-08-17 14:37:28",
      "modified": "2025-04-01 12:57:18",
      "commits": 18
    }
  ],
  "_score": 5.556302500767288,
  "_indexed": true,
  "_nocasepkg": "dimensio",
  "_universes": [
    "tesselle",
    "nfrerebeau",
    "codeberg-tesselle"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "0.14.1.9000",
      "date": "2026-06-03T07:00:26.000Z",
      "distro": "noble",
      "commit": "ff87361cb3f7a7046ca219c2e39321d4616d8a90",
      "fileid": "c9d4f65fad86e894c3c712160535be05e7d3bf23c3de88a1007c9c0cccdd30ea",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/tesselle/actions/runs/26868806093"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "0.14.1.9000",
      "date": "2026-06-03T07:00:20.000Z",
      "distro": "noble",
      "commit": "ff87361cb3f7a7046ca219c2e39321d4616d8a90",
      "fileid": "8e2fbb631af456eb6266224c34351028fb1cb2648550a94c53e787dc5b72bea8",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/tesselle/actions/runs/26868806093"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "0.14.1.9000",
      "date": "2026-06-03T07:01:28.000Z",
      "commit": "ff87361cb3f7a7046ca219c2e39321d4616d8a90",
      "fileid": "0ad82d6ccb0b66e27331b904699aae4a7a4c5e3ca2c81424523a9d88f67ea250",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/tesselle/actions/runs/26868806093"
    },
    {
      "r": "4.6.0",
      "os": "mac",
      "version": "0.14.1.9000",
      "date": "2026-06-03T07:02:10.000Z",
      "commit": "ff87361cb3f7a7046ca219c2e39321d4616d8a90",
      "fileid": "0c28d64548508a644332e8d61cb5b964bcb5cfb875218bc95596f200c5e46e3a",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/tesselle/actions/runs/26868806093"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "0.14.1.9000",
      "date": "2026-06-03T07:00:40.000Z",
      "commit": "ff87361cb3f7a7046ca219c2e39321d4616d8a90",
      "fileid": "1ad7b4c1114924669031dbdc9c5df7a6450771684a5b8dd741488ab88e9e55ce",
      "status": "success",
      "buildurl": "https://github.com/r-universe/tesselle/actions/runs/26868806093"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "0.14.1.9000",
      "date": "2026-06-03T06:59:38.000Z",
      "commit": "ff87361cb3f7a7046ca219c2e39321d4616d8a90",
      "fileid": "c92e26a18a8a4f8929cc627ac48c650c6dafefbfc0ce9f970de1ec7527496301",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/tesselle/actions/runs/26868806093"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "0.14.1.9000",
      "date": "2026-06-03T06:59:36.000Z",
      "commit": "ff87361cb3f7a7046ca219c2e39321d4616d8a90",
      "fileid": "2f7b117cfe56b31b7dbd94cac825393d969c8165061dea98eeca55002c0cdf99",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/tesselle/actions/runs/26868806093"
    },
    {
      "r": "4.6.0",
      "os": "win",
      "version": "0.14.1.9000",
      "date": "2026-06-03T06:59:40.000Z",
      "commit": "ff87361cb3f7a7046ca219c2e39321d4616d8a90",
      "fileid": "3eece077d21d76cc3e234b3fce5423f9abcb9b9afb1007e5d9564ee5b1863035",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/tesselle/actions/runs/26868806093"
    }
  ]
}