PubMed:23611123 / 589-964 JSON TXT

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Id	Subject	Object	Predicate	Lexical cue
SS1_23611123_2_0	8-45	expanded	denotes	variable importance to the projection
SS2_23611123_2_0	47-50	abbr	denotes	VIP
SS1_23611123_2_1	212-255	expanded	denotes	partial least-squares discriminant analysis
SS2_23611123_2_1	257-263	abbr	denotes	PLS-DA
SS1_23611123_2_2	282-310	expanded	denotes	Monte Carlo cross validation
SS2_23611123_2_2	312-316	abbr	denotes	MCCV
AE1_23611123_2_0	SS1_23611123_2_0	SS2_23611123_2_0	abbreviatedTo	variable importance to the projection,VIP
AE1_23611123_2_1	SS1_23611123_2_1	SS2_23611123_2_1	abbreviatedTo	partial least-squares discriminant analysis,PLS-DA
AE1_23611123_2_2	SS1_23611123_2_2	SS2_23611123_2_2	abbreviatedTo	Monte Carlo cross validation,MCCV

Id	Subject	Object	Predicate	Lexical cue
TextSentencer_T3	0-375	Sentence	denotes	Several variable importance to the projection (VIP)- and b-coefficient-based variable selection methods were tested, both individually and through their intersection, and the resulting data sets were analyzed by partial least-squares discriminant analysis (PLS-DA) and submitted to Monte Carlo cross validation (MCCV) and permutation tests to evaluate model predictive power.
T3	0-375	Sentence	denotes	Several variable importance to the projection (VIP)- and b-coefficient-based variable selection methods were tested, both individually and through their intersection, and the resulting data sets were analyzed by partial least-squares discriminant analysis (PLS-DA) and submitted to Monte Carlo cross validation (MCCV) and permutation tests to evaluate model predictive power.