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. 2011 May 23;11:137. doi: 10.1186/1471-2148-11-137

Table 1.

Multivariate PGLS regression results for the shape PCs on size and diet.

Shape PC1 R2 = 0.570
b r P

CL 0.0000 0.0022 0.9886
Diet PC1 0.0303 0.2242 0.1340
Diet PC2 -0.0903 0.5631 < 0.0001
Diet PC3 0.1162 0.6312 < 0.0001

Shape PC2 R2 = 0.807

b r P

CL -0.0010 -0.2116 0.1581
Diet PC1 0.0190 0.2998 0.0429
Diet PC2 -0.1047 -0.8650 < 0.0001
Diet PC3 -0.0754 -0.7549 < 0.0001

Shape PC3 R2 = 0.444

b r P

CL -0.0008 -0.1592 0.2907
Diet PC1 0.0545 0.6420 < 0.0001
Diet PC2 0.0079 -0.1201 0.4264
Diet PC3 -0.0226 -0.3049 0.0394

Shape PC4 R2 = 0.440

b r P

CL -0.0020 -0.4482 0.0018
Diet PC1 -0.0233 -0.4031 0.0054
Diet PC2 -0.0003 -0.0056 0.9705
Diet PC3 -0.0016 -0.0273 0.8573

Shape PC5 R2 = 0.159

b r P

CL -0.0008 -0.1974 0.1884
Diet PC1 0.0151 0.2877 0.0525
Diet PC2 -0.0007 -0.0142 0.9255
Diet PC3 0.0140 0.2484 0.0960

The partial regression (b) and partial correlation (r) coefficients and their significances (P) are depicted for each independent variable: CL - Condylobasal Length, and diet principal components. Diet PC1 is a contrast between animalivores (positive) and frugivores (negative). Diet PC2 separates sanguivores (positive scores) from the rest. Diet PC3 separates nectarivores (positive) from the rest. The variance inflation factors were small, ranging from 1.249 (Diet PC1) to 1.007 (Diet PC2). The multivariate model was significant (Wilk's Λ = 0.0092, F = 15.23, df1 = 25, df2 = 150.1, P < 0:00001).