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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, \(\lambda\)

From: Modelling the shape of the pig scapula

 

\({\mathbf{v}}_{1}\)

\({\mathbf{v}}_{2}\)

\({\mathbf{v}}_{3}\)

\({\mathbf{v}}_{4}\)

\({\mathbf{v}}_{5}\)

\({\mathbf{v}}_{6}\)

\({\mathbf{v}}_{7}\)

\({\mathbf{v}}_{8}\)

\({\mathbf{v}}_{9}\)

\({\mathbf{v}}_{10}\)

\({{\lambda }}\)

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