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While both models exploit the correlation between mammal communities (defined in terms of functional groups) and arboreal heterogeneity, the first uses a multiple multivariate regression of community structure and arboreal heterogeneity, while the second uses a linear regression of the principal components of each ecospace.
Table 2 summarizes the multivariate regression of comorbidities on LOS.
The method relies on the multivariate regression of sample mean and variance.
Allometry within genotypes was tested by multivariate regression of shape on centroid size [28], [29].
B) Multivariate regression of the shape variables (the principal components, PCs) on CS was performed to assess allometries, for testing the third hypothesis.
The relationship between tooth shape variables and tooth size was thus investigated using a multivariate regression of the FCs versus size.
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To date, the most powerful noise estimation models are based on the multivariate regressions of local statistics[2 5].
We made both univariate and multivariate regressions of the three sperm length variables (total length, CVbm and CVwm) on the proportion of extrapair paternity, to assess and compare their predictive power.
The multivariate regressions of shape on size were statistically significant in all cases and indicate the presence of interspecific allometry.
Bootstrap samples for males and females were randomly drawn, with replacement, from the modified dataset and the multivariate regressions of shape on centroid size were computed.
The multivariate regressions of cranial and mandibular shape on size across all species revealed a significant correlation in both cases (p < 0.0001).
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