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Finally, multivariate correlations between the datasets were computed exploiting their PC projections.
To study information redundancy we applied cluster analysis on multivariate correlations between estimates obtained with different methods.
Rodda et al. chose axes based on their interpretation of the key ecological factors; Pyron et al. used an automated statistical algorithm (Maximum entropy modeling or program MaxEnt [5], [6]) to identify the multivariate correlations between 19 climate axes and climate conditions present at 90 geographic localities within the species' native range.
Principal component analysis (PCA), using SIMCA-P+, was used to investigate multivariate correlations between pain variables and psychological variables within the NSP-group.
Multivariate correlations between sets of genes were calculated making use of the gene set specific μ-scores calculated by the muStat package [ 46].
Actually, as shown in Table 3, the strengths of the multivariate correlations between the OxS marker and the biochemical and densitometric bone parameters appeared to be stronger than the respective univariate.
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Although pair-wise cross correlations between the two sets of variables are weak to moderate, CCA revealed strong multivariate correlation between the two sets.
Multivariate correlations were determined between the expressions of transgenic STAT5 and specifically affected genes, and among the expressions of the affected genes in the individual tumors using JMP statistical software (Version 7.0, SAS Institute, Inc., Cary, NC).
To perform a multivariate correlation analysis between the PCs of MS, MT and FP, we exploited their projections on the respective PCs.
For each descriptor, multivariate correlation-relationships between indices and summed mortality probability were determined.
We used the powerful statistical method (principal component analysis; PCA) to investigate the complex multivariate correlation pattern between the psychophysical tests and different psychological variables.
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