Information for "Canonical correspondence analysis"

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Display titleCanonical correspondence analysis
Default sort keyCanonical correspondence analysis
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Page ID213812
Page content languageen - English
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Page creatorimported>John Stpola
Date of page creation14:52, 24 October 2022
Latest editorimported>John Stpola
Date of latest edit14:52, 24 October 2022
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In multivariate analysis, canonical correspondence analysis (CCA) is an ordination technique that determines axes from the response data as a linear combination of measured predictors. CCA is commonly used in ecology in order to extract gradients that drive the composition of ecological communities.
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