Concept information
There is no term for this concept in this language.
Preferred term
Definition
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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.
(en)Source: https://doi.org/10.1007/BF02306024
Created: 10/20/22
Broader concept
In other languages
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void:inDataset: http://aims.fao.org/aos/agrovoc/void.ttl#Agrovoc
Created: 2024-08-12T10:42:42Z
Notation: a9b1f042
Arabic
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void:inDataset: http://aims.fao.org/aos/agrovoc/void.ttl#Agrovoc
Created: 2022-10-20T20:28:02
Notation: a9b1f042
English
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void:inDataset: http://aims.fao.org/aos/agrovoc/void.ttl#Agrovoc
Created: 2022-10-21T09:48:19
Notation: a9b1f042
French
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void:inDataset: http://aims.fao.org/aos/agrovoc/void.ttl#Agrovoc
Created: 2022-10-21T09:51:05
Notation: a9b1f042
Russian
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void:inDataset: http://aims.fao.org/aos/agrovoc/void.ttl#Agrovoc
Created: 2022-10-21T09:49:26
Notation: a9b1f042
Spanish
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void:inDataset: http://aims.fao.org/aos/agrovoc/void.ttl#Agrovoc
Created: 2024-01-22T12:19:50
Notation: a9b1f042
Swahili
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void:inDataset: http://aims.fao.org/aos/agrovoc/void.ttl#Agrovoc
Created: 2022-10-28T10:29:47
Notation: a9b1f042
Turkish