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Table 2 PCA models’ R2, \(R_{a}^{2}\), \(\lambda\), RMSE, and MAE values.

From: Prediction of Stress Increase at Ultimate in Unbonded Tendons Using Sparse Principal Component Analysis

Variables Internal data External data
\(R^{2}\) \(R_{a}^{2}\) \(\lambda\) RMSE MAE \(R^{2}\) \(R_{a}^{2}\) \(\lambda\) RMSE MAE
All variables 0.43 0.43 1.00 110.56 87.38 0.64 0.63 1.01 166.91 128.16
Cont. and Cate. 0.36 0.35 1.02 117.38 95.88 0.66 0.65 1.02 162.08 124.60
Self-Selected 0.26 0.25 1.04 126.34 103.43 0.49 0.48 1.04 198.51 160.44
Corr. Cutoff 0.52 0.50 0.99 102.36 81.09 0.67 0.66 1.01 160.93 123.49