"eigenvariate" meaning in All languages combined

{
  "etymology_templates": [
    {
      "args": {
        "1": "en",
        "2": "eigen",
        "3": "variate"
      },
      "expansion": "eigen- + variate",
      "name": "prefix"
    }
  ],
  "etymology_text": "eigen- + variate",
  "forms": [
    {
      "form": "eigenvariates",
      "tags": [
        "plural"
      ]
    }
  ],
  "head_templates": [
    {
      "args": {},
      "expansion": "eigenvariate (plural eigenvariates)",
      "name": "en-noun"
    }
  ],
  "lang": "English",
  "lang_code": "en",
  "pos": "noun",
  "senses": [
    {
      "categories": [
        {
          "kind": "other",
          "name": "English entries with incorrect language header",
          "parents": [
            "Entries with incorrect language header",
            "Entry maintenance"
          ],
          "source": "w"
        },
        {
          "kind": "other",
          "name": "English terms prefixed with eigen-",
          "parents": [],
          "source": "w"
        },
        {
          "kind": "topical",
          "langcode": "en",
          "name": "Mathematics",
          "orig": "en:Mathematics",
          "parents": [
            "Formal sciences",
            "Sciences",
            "All topics",
            "Fundamental"
          ],
          "source": "w"
        }
      ],
      "examples": [
        {
          "ref": "2004, Kenneth Hugdahl, Richard J. Davidson, The Asymmetrical Brain, page 183",
          "text": "These activities are usually taken to be the first local eigenvariate around the voxel of interest (a regional mean, weighted in accordance with the local covariance structure).",
          "type": "quotation"
        }
      ],
      "glosses": [
        "A principal component obtained from a multivariate dataset through principal components analysis."
      ],
      "id": "en-eigenvariate-en-noun-VHs13NUh",
      "links": [
        [
          "mathematics",
          "mathematics"
        ],
        [
          "principal",
          "principal"
        ],
        [
          "component",
          "component"
        ],
        [
          "obtained",
          "obtained"
        ],
        [
          "multivariate",
          "multivariate"
        ],
        [
          "dataset",
          "dataset"
        ]
      ],
      "raw_glosses": [
        "(mathematics) A principal component obtained from a multivariate dataset through principal components analysis."
      ],
      "topics": [
        "mathematics",
        "sciences"
      ]
    }
  ],
  "word": "eigenvariate"
}

{
  "etymology_templates": [
    {
      "args": {
        "1": "en",
        "2": "eigen",
        "3": "variate"
      },
      "expansion": "eigen- + variate",
      "name": "prefix"
    }
  ],
  "etymology_text": "eigen- + variate",
  "forms": [
    {
      "form": "eigenvariates",
      "tags": [
        "plural"
      ]
    }
  ],
  "head_templates": [
    {
      "args": {},
      "expansion": "eigenvariate (plural eigenvariates)",
      "name": "en-noun"
    }
  ],
  "lang": "English",
  "lang_code": "en",
  "pos": "noun",
  "senses": [
    {
      "categories": [
        "English countable nouns",
        "English entries with incorrect language header",
        "English lemmas",
        "English nouns",
        "English terms prefixed with eigen-",
        "English terms with quotations",
        "Quotation templates to be cleaned",
        "en:Mathematics"
      ],
      "examples": [
        {
          "ref": "2004, Kenneth Hugdahl, Richard J. Davidson, The Asymmetrical Brain, page 183",
          "text": "These activities are usually taken to be the first local eigenvariate around the voxel of interest (a regional mean, weighted in accordance with the local covariance structure).",
          "type": "quotation"
        }
      ],
      "glosses": [
        "A principal component obtained from a multivariate dataset through principal components analysis."
      ],
      "links": [
        [
          "mathematics",
          "mathematics"
        ],
        [
          "principal",
          "principal"
        ],
        [
          "component",
          "component"
        ],
        [
          "obtained",
          "obtained"
        ],
        [
          "multivariate",
          "multivariate"
        ],
        [
          "dataset",
          "dataset"
        ]
      ],
      "raw_glosses": [
        "(mathematics) A principal component obtained from a multivariate dataset through principal components analysis."
      ],
      "topics": [
        "mathematics",
        "sciences"
      ]
    }
  ],
  "word": "eigenvariate"
}