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. Author manuscript; available in PMC: 2015 Mar 1.
Published in final edited form as: J Struct Funct Genomics. 2014 Feb 5;15(1):1–11. doi: 10.1007/s10969-014-9173-2

Table 4.

Eigenvectors and eigenvalues from diagonalization of the variance/covariance matrix in Table 3

PC1 PC2 PC3 PC4 PC5 PC6 PC7 PC8 PC9 EV
.11 −.010 −.01 −.16 .15 .021 −.52 −.010 −.82 14.4
.24 −.023 .14 −.22 .59 −.47 −.37 .00 .41 3.46
.01 −.01 .16 .11 .30 −.51 .67 −.00 −.41 2.61
.029 .82 −.55 −.044 .067 −.11 .032 .00 .00 1.22
−.039 .56 .81 −.064 −.14 .088 −.049 −.00 .00 .78
.00 .00 .00 .00 .00 .00 .00 1.00 −.01 .31
.075 .064 .037 .34 .67 .64 .12 .00 .00 .062
−.28 .047 .024 .84 −.044 −.30 −.35 −.00 −.00 .00
.92 .014 .019 .30 −.25 −.010 .037 .00 .00 .00

The first nine columns represent the loadings of the nine eigenvectors ordered from left to right. The last column is the vector of eigenvalues