Variable selection in large environmenta
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Jacquelynne R. King; Donald A. Jackson
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Article
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1999
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John Wiley and Sons
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English
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In many large environmental datasets redundant variables can be discarded without the loss of extra variation. Principal components analysis can be used to select those variables that contain the most information. Using an environmental dataset consisting of 36 meteorological variables spanning 37 y