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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