From: Some dimension reduction strategies for the analysis of survey data
\(X_1\) | 4.7301 | \(X_2\) | 2.5689 | \(X_3\) | 7.5692 | \(X_4\) | 16.7708 |
\(X_5\) | 14.5877 | \(X_6\) | 2.0651 | \(X_7\) | 6.6821 | \(X_8\) | 5.6688 |
\(X_9\) | 5.7848 | \(X_{10}\) | 10.4067 | \(X_{11}\) | 3.8511 | \(X_{12}\) | 2.0008 |
\(X_{13}\) | 2.1802 | \(X_{14}\) | 10.3657 | \(X_{15}\) | 11.1770 | Â | Â |