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  "Title": "Fifty-Fifty MANOVA",
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  "Date": "2023-10-18",
  "Authors@R": "c(person(\"Øyvind\", \"Langsrud\", role = c(\"aut\", \"cre\"),\nemail = \"oyl@ssb.no\"),\nperson(\"Bjørn-Helge\", \"Mevik\", role = c(\"aut\")))",
  "Author": "Øyvind Langsrud [aut, cre], Bjørn-Helge Mevik [aut]",
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  "Description": "General linear modeling with multiple responses (MANCOVA).\nAn overall p-value for each model term is calculated by the\n50-50 MANOVA method by Langsrud (2002)\n<doi:10.1111/1467-9884.00320>, which handles collinear\nresponses. Rotation testing, described by Langsrud (2005)\n<doi:10.1007/s11222-005-4789-5>, is used to compute adjusted\nsingle response p-values according to familywise error rates\nand false discovery rates (FDR). The approach to FDR is\ndescribed in the appendix of Moen et al. (2005)\n<doi:10.1128/AEM.71.4.2086-2094.2005>. Unbalanced designs are\nhandled by Type II sums of squares as argued in Langsrud (2003)\n<doi:10.1023/A:1023260610025>. Furthermore, the Type II\nphilosophy is extended to continuous design variables as\ndescribed in Langsrud et al. (2007)\n<doi:10.1080/02664760701594246>. This means that the method is\ninvariant to scale changes and that common pitfalls are\navoided.",
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    "myorth",
    "orth_D",
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    "stdize3",
    "unitest",
    "unitests",
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    "xy_Obj"
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      "title": "Dressing data",
      "object": "dressing",
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      ],
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        "stab",
        "emul",
        "day",
        "visc",
        "rheo",
        "pvol"
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      "page": "dressing",
      "title": "Dressing data",
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      ]
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      "title": "Type II* Anova",
      "topics": [
        "ffAnova"
      ]
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    {
      "page": "ffmanova",
      "title": "Fifty-fifty MANOVA",
      "topics": [
        "ffmanova"
      ]
    },
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      "title": "Fix the \"factor\" matrix of a terms object.",
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        "rotationtests"
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        "unitests"
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