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. 2017 May;18(5):383–392. doi: 10.1631/jzus.B1600141

Fig. 5.

Fig. 5

Scree plot: results of different latent variables for lobetyolin regression model

Seven latent variables were considered as the optimum number for lobetyolin model. PRESS: predicted residual error sum of squares; RMSECV: root mean square error of cross-validation