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. Author manuscript; available in PMC: 2018 Jul 16.

Published in final edited form as: Clin Biochem. 2016 Jun 8;49(13-14):955–961. doi: 10.1016/j.clinbiochem.2016.06.002

Figure 1. — The VIP plot analyzes the contribution of each predictor by fitting the PLS model for both predictors and response, thus summarizing the contribution that each variable makes to the model [13]. A value of < 0.8 is considered small and makes the factor a candidate for deletion from the model [13]. The plots were generated using MetaboAnalyst 3.0 [10,11]. The PLS-DA analyses are compared in Supplementary Figure 2.

Figure 1. — The VIP plot analyzes the contribution of each predictor by fitting the PLS model for both predictors and response, thus summarizing the contribution that each variable makes to the model [13]. A value of < 0.8 is considered small and makes the factor a candidate for deletion from the model [13]. The plots were generated using MetaboAnalyst 3.0 [10,11]. The PLS-DA analyses are compared in Supplementary Figure 2.