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As expected, mean values of time to PC90 based on observed timepoints were higher than in the principal analysis using the model-based approach (Table 2).
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We first explored the underlying component structure of the items by means of exploratory factor analysis (principal component analysis) using principal axis extraction and the varimax rotation method, which maximises the independence of the factors.
Principal component analysis using these five metabolites provided 79%% separation [7].
Population structure was also examined by carrying out principal component analysis using the SMARTPCA within EIGENSOFT [38], [39].
The observed cluster patterns were verified using principal component analysis using the 'rgl', 'pvclust' and 'cluster' packages.
Factor structure was explored with Principal Components Analysis, using Varimax rotation.
We tested for hidden population substructure by performing a principal components analysis using EIGENSOFT (37).
Ancestry outliers were identified based on principal components analysis using EIGENSOFT (Supplementary Material, Fig. S3) (41).
37 The SEIFA IRSAD is calculated via Principal Components Analysis using 21 indicator variables from the census.
The obtained dataset was used to perform a principal component analysis using "prcom" function in R environment.
EFA was performed using the method of principal components analysis using orthogonal varimax rotation selection on 31 variables.
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