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  "Title": "CONCOR for Structural- And Regular-Equivalence Blockmodeling",
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  "Authors@R": "c(\nperson(\"Roger\", \"Lafosse\", , \"lafosse@lsp.ups-tlse.fr\", role = c(\"aut\"), comment = c()),\nperson(\"Fabio Ashtar\", \"Telarico\", , \"Fabio-Ashtar.Telarico@fdv.uni-lj.si\", role = c(\"cre\", \"aut\"), comment = c(ORCID = \"0000-0002-8740-7078\")))",
  "Description": "The four functions svdcp() ('cp' for column partitioned),\nsvdbip() or svdbip2() ('bip' for bipartitioned), and svdbips()\n('s' for a simultaneous optimization of a set of 'r'\nsolutions), correspond to a singular value decomposition (SVD)\nby blocks notion, by supposing each block depending on relative\nsubspaces, rather than on two whole spaces as usual SVD does.\nThe other functions, based on this notion, are relative to two\ncolumn partitioned data matrices x and y defining two sets of\nsubsets x_i and y_j of variables and amount to estimate a link\nbetween x_i and y_j for the pair (x_i, y_j) relatively to the\nlinks associated to all the other pairs. These methods were\nfirst presented in: Lafosse R. & Hanafi M.,(1997)\n<https://eudml.org/doc/106424> and Hanafi M. & Lafosse, R.\n(2001) <https://eudml.org/doc/106494>.",
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  "Author": "Roger Lafosse [aut], Fabio Ashtar Telarico [cre, aut]\n(<https://orcid.org/0000-0002-8740-7078>)",
  "Maintainer": "Fabio Ashtar Telarico <Fabio-Ashtar.Telarico@fdv.uni-lj.si>",
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      "page": "concor",
      "title": "Relative links of several subsets of variables",
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        "concor"
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      "title": "Canonical analysis of several sets with another set",
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      "title": "Redundancy of sets yj by one set x",
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        "concoreg"
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      "title": "Canonical analysis of subsets Yj with subsets Xi",
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      "title": "Regression of subsets Yj by subsets Xi",
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      "title": "simultaneous concorgm",
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      "title": "simultaneous concorgmcano",
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        "concorscano"
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      "page": "concorsreg",
      "title": "Redundancy of sets yj by one set x",
      "topics": [
        "concorsreg"
      ]
    },
    {
      "page": "svdbip",
      "title": "SVD for one bipartitioned matrix x",
      "topics": [
        "svdbip"
      ]
    },
    {
      "page": "svdbip2",
      "title": "SVD for bipartitioned matrix x",
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        "svdbip2"
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    },
    {
      "page": "svdbips",
      "title": "SVD for bipartitioned matrix x",
      "topics": [
        "svdbips"
      ]
    },
    {
      "page": "svdcp",
      "title": "SVD for a Column Partitioned matrix x",
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