Principal components analysis was carried out on 13 morphological dimensions collected in the first phase of the QuΓ©bec Family Study (weight, height, fat mass (FM), fat-free mass (FFM), body surface area, six skinfolds, arm and calf girths). The first four principal components (PCs) account for 85.9
Principal Component Analysis from the Multivariate Familial Correlation Matrix
β Scribed by Martin Bilodeau; Pierre Duchesne
- Publisher
- Elsevier Science
- Year
- 2002
- Tongue
- English
- Weight
- 123 KB
- Volume
- 82
- Category
- Article
- ISSN
- 0047-259X
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β¦ Synopsis
This paper considers principal component analysis (PCA) in familial models, where the number of siblings can differ among families.
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