{
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  "Type": "Package",
  "Title": "Multi-Block Partial Least Squares Discriminant Analysis",
  "Version": "0.9.0",
  "Date": "2022-06-20",
  "Author": "Marion Brandolini-Bunlon, Stephanie Bougeard, Melanie Petera,\nEstelle Pujos-Guillot",
  "Maintainer": "Marion Brandolini-Bunlon <marion.brandolini-bunlon@inra.fr>",
  "Description": "Several functions are provided to implement a MBPLSDA :\ncomponents search, optimal model components number search,\noptimal model validity test by permutation tests, observed\nvalues evaluation of optimal model parameters and predicted\ncategories, bootstrap values evaluation of optimal model\nparameters and predicted cross-validated categories. The use of\nthis package is described in Brandolini-Bunlon et al (2019.\nMulti-block PLS discriminant analysis for the joint analysis of\nmetabolomic and epidemiological data. Metabolomics,\n15(10):134).",
  "License": "GPL (>= 2.0)",
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    "User": "root"
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  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2022-06-20 15:00:02 UTC",
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      "file": "nutrition.rda",
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      "page": "packMBPLSDA-package",
      "title": "Multi-Block Partial Least Squares Discriminant Analysis",
      "topics": [
        "packMBPLSDA-package",
        "packMBPLSDA"
      ]
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      "title": "bootstraped simulations for multi-block partial least squares discriminant analysis",
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      "title": "generalized inverse of a matrix X",
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      "page": "mbplsda",
      "title": "Multi-block partial least squares discriminant analysis",
      "topics": [
        "mbplsda"
      ]
    },
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      "page": "medical",
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