Table 1.
Eigenvalues of the principal component (PC) analysis for the four data sets, given as percent of the total variance (rounded off to the nearest whole percentage point). Note that the first component captures the lion's share of the variance, and that the second component is also quite sizable.
| Data set | Egv 1 | Egv 2 | Egv 3 | Egv4 | Egv5 | Egv6 | Egv7 | Egv8 | Egv9 |
| Furs | 61% | 13% | 9% | 6% | 5% | 4% | 1% | 1% | -- |
| Furs + NAO | 55% | 12% | 10% | 7% | 5% | 5% | 3% | 2% | 1% |
| Furs + ENSO | 54% | 14% | 9% | 7% | 5% | 5% | 3% | 2% | 1% |
| Furs + temp | 56% | 12% | 11% | 7% | 5% | 4% | 3% | 2% | 1% |