Component extraction was based on eigenvalues >1, and four principal components were extracted that explained 70% of the variance.
These components were extracted according to the individual descriptions provided in the HTA reports.
The spectrum, F0, and aperiodic components were extracted using STRAIGHT [22].
Three principal components were extracted and accounted for 88.7% of the total variation in data set.
In the first step, those crude oil components were extracted, which preferentially wet solid surfaces.
After hydrolysis, neutral organic components were extracted with n-hexane (3× 500 μL) and, after acidification with hydrochloric acid (10 M; to pH 2), the acidic organic components were extracted from the hydrolysate with diethyl ether (3× 500 μL).
From PCA, five major principal components were extracted which perfectly reduced the data dimension and indicated possible anthropogenic sources.
The TF components were extracted using the same technique [42] used to extract the HRV components discussed above.
From PCA, three major principal components were extracted which perfectly reduced the data dimension and also indicated possible anthropogenic sources.
Table 5 further indicated that all the components were extracted at some point during the flooding process of the composite core.
Using factor analysis, correlations among concerns were analyzed, and five principal components were extracted, namely "pollution", "nuisance", "facility management", "planning of facility", and "merit/demerit".
