Details

Autor(en) / Beteiligte

• Corruccini, Roberts S.

Titel

Principal components for allometric analysis

Ist Teil von

• American journal of physical anthropology, 1983-04, Vol.60 (4), p.451-453

Ort / Verlag

New York: Wiley Subscription Services, Inc., A Wiley Company

Erscheinungsjahr

1983

Quelle

Wiley-Blackwell Journals

Beschreibungen/Notizen

• Logarithmic bivariate regression slopes and logarithmic principal component coefficient ratios are two methods for estimating allometry coefficients corresponding to a in the classic power formula Y = BXa. Both techniques depend on high correlation between variables. Interpretation is logically limited to the variables included in analysis. Principal components analysis depends also on relatively uniform intercorrelations; given this, it serves satisfactorily as a method for summarizing many bivariate combinations. Unmodified major principal component coefficients cannot represent scaling to body weight; rather, they represent scaling to a composite size vector which usually is highly correlated with body size or weight but has an unspecified allometry. Thus, the concepts of proportionality and of isometry must be kept distinct.