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방법 > 통계방법 > component analysis (statistics) (en) > principal component analysis (en) > redundancy analysis (en)

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  • Redundancy analysis (also called principal components analysis of instrumental variables) is a technique for two sets of variables, one set being dependent of the other. Its aim is maximization of the explained variance of the dependent variables by a linear combination of the explanatory variables.

    Source: https://doi.org/10.1007/BF02306024

    Created: 10/20/22

    (en)

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http://aims.fao.org/aos/agrovoc/c_a9b1f042

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RDF/XML TURTLE JSON-LD Created 10/20/22, last modified 1/22/24