Skip to main content
. 2019 Feb 1;12(6):1139–1146. doi: 10.1002/cssc.201802809

Table 1.

Results of PLS regression between molecular weight and inter‐unit abundances as determined by GPC and 2D HSQC NMR spectroscopy, respectively, for the 54 lignin samples and their ATR‐FTIR using 1st derivative pre‐processing.

Entry Unit Range Num. LV[a] Variance captured [%] RMSEC[b] RMSECV RE[c] [%] R 2 Cal. R 2 CV[d]
X (FTIR) Y (Cal.)
1 M n 4626 7 94 94 260 400 8.7 0.94 0.85
2 log(M n) 0.95 7 94 98 0.034 0.059 6.2 0.98 0.94
3 M w 29 984 10 96 92 1500 3000 10 0.92 0.70
4 log(M w) 1.7 6 93 94 0.091 0.13 7.6 0.94 0.88
5 D 5.03 5 89 72 0.69 1.0 20 0.72 0.44
6 β‐O‐4 34 4 85 94 1.8 2.8 8.2 0.94 0.85
7 β‐5 10 4 86 88 0.74 1.1 11 0.88 0.75
8 β‐β 3.9 5 90 85 0.33 0.53 14 0.85 0.61

[a] Num. LV=number of latent variables. [b] RMSEC=root mean squared error of calibration. [c] RE=RMSECV/range. [d] Venetian blinds with 10 splits and 1 sample per split; values reported to 2 significant figures; see Figure S2 for the associated regression vectors.