# Table 2 The ten largest eigenvectors ($${\mathbf{v}}_{\varvec{n}}$$) of the $${\mathbf{GP}}^{ - 1}$$ matrix as linear combinations of principal components and the associated eigenvalues, $$\lambda$$

$${\mathbf{v}}_{1}$$ $${\mathbf{v}}_{2}$$ $${\mathbf{v}}_{3}$$ $${\mathbf{v}}_{4}$$ $${\mathbf{v}}_{5}$$ $${\mathbf{v}}_{6}$$ $${\mathbf{v}}_{7}$$ $${\mathbf{v}}_{8}$$ $${\mathbf{v}}_{9}$$ $${\mathbf{v}}_{10}$$
$${{\lambda }}$$ 0.80 0.79 0.69 0.68 0.67 0.63 0.56 0.53 0.51 0.40
PC1a 0.00 0.00 0.00 0.00 0.00 0.01 − 0.03 1.00 0.01 0.01
PC2 0.02 − 0.01 0.00 0.00 − 0.01 0.01 − 1.00 − 0.03 0.01 0.00
PC3 0.00 − 0.02 − 0.98 0.17 0.01 0.01 0.00 0.00 0.01 0.00
PC4 0.00 − 0.02 − 0.01 − 0.01 − 1.00 − 0.05 0.01 0.00 0.00 0.00
PC5 0.03 − 0.01 0.01 0.00 0.00 0.00 0.01 − 0.01 1.00 0.00
PC6 0.01 0.00 − 0.01 0.00 0.05 − 1.00 − 0.01 0.01 0.00 0.00
PC7 0.02 1.00 − 0.02 0.00 − 0.02 0.00 − 0.01 0.00 0.01 0.00
PC8 − 1.00 0.02 − 0.01 − 0.05 0.00 − 0.01 − 0.02 0.00 0.03 0.00
PC9 0.05 0.00 − 0.17 − 0.98 0.01 0.00 0.00 0.00 0.00 0.00
PC10 0.00 0.00 0.00 0.00 0.00 0.00 0.00 − 0.01 0.00 1.00
1. PC principal components of the 3D scapula shape