Exploration of Macro-Micro Biomarkers for Dampness-Heat Syndrome Differentiation in Different Diseases

Table 4

Summary of the modeling quality of OPLS analysis.

Name	No^a	𝑅^2𝑋^bcum	𝑅^2𝑌^ccum	𝑄^2𝑌^dcum
1A	1P + 1O^e	0.24	0.97	0.91
1B	1P + 1O	0.16	0.96	0.78
1C	1P + 1O	0.17	0.98	0.93
2A	1P + 2O	0.50	0.89	0.70
2B	1P + 3O	0.56	0.90	0.48
2C	1P + 3O	0.49	0.91	0.57

aNo represents the number of components.
^b,c𝑅²𝑋_cum and 𝑅²𝑌_cum represent the cumulative sum of squares (SSs) of all the 𝑋’s and 𝑌’s explained by all extracted components.
^d𝑄²𝑌_cum is an estimate of how well the model predicts the 𝑌’s.
^e1P + 1O: one predictive component and one orthogonal component for establishing the OPLS model.