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Again, aiming duration accounted for the variance in the data.
Process indicators explained 22.5% to 30.6% of the variance in the data.
The models explain 41 65% (adj. D2) of the variance in the data.
A factor analysis reduced 33 soil physicochemical parameters to five factors that explained 72% of the variance in the data.
The model explained 69%% of the variance in the data.
EFA yielded a 2-factor solution accounting for 68% of the variance in the data.
In total, these factors accounted for 68.5%% of the variance in the data.
The results show that six factors account for 84%% of the variance in the data.
This relationship accounted for 85% of the variance in the data (Table 4).
All items loaded > 0.4 and explained 29.25% of the variance in the data.
Likewise, PCA computes weighted linear combinations by preserving the variance in the data.
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