Differences of Excess and Deficiency Zheng in Patients with Chronic Hepatitis B by Urinary Metabonomics

Table 4

Summary of the modeling information of OPLS analysis.

Name	No	𝑅^2𝑋cum	𝑅^2𝑌cum	𝑄^2𝑌cum
Model 1	1P + 1O	0.105	0.887	0.582
Model 2	1P + 3O	0.501	0.815	0.215
Model 3	1P + 2O	0.42	0.568	0.216
Model 4	1P + 4O	0.552	0.804	0.258
Model 5	1P + 2O	0.293	0.731	0.351
Model 6	1P + 2O	0.471	0.621	0.361

Model 1 was generated by EZ group compared with DZ group with TCM symptoms; Models 2–6 were generated by urine metabonomic data (Model 2: EZ group compared with DZ group; Model 3: CHB group compared with normal control; Model 4: comparison of EZ, DZ, and WZ; Model 5: EZ compared with WZ; Model 6: DZ compared with WZ.)
No represents the sum number of components. For instance, “1P + 1O” means one predictive component and two orthogonal components for establishing the OPLS model.
𝑅²𝑋_cum and 𝑅²𝑌_cum represent the cumulative sum of squares (SS) of all the 𝑋’s and 𝑌’s explained by all extracted components.
𝑄²𝑌_cum is an estimate of how well the model predicts the 𝑌’s.