Sentence examples for by three principal components from inspiring English sources

Our results illustrate that more than 80% of the variance in the data can be explained by three principal components, that, based on their loadings can be interpreted as a dispersion factor, a weekly and intra-daily seasonality factor and a factor related to price levels.

PC analysis indicated that most of the variation in amino acid concentrations between the lean and obese state could be explained by three principal components which explained >95% of the variation in amino acid concentrations.

A PCA analysis of these compounds explained 65% of the variance by three principal components.

Finally, a description of the folding pathway in terms of the principal component analysis is presented to characterize the folding dynamics in reduced dimensions, where 83% of the pathway can be described by three principal components.

The A series (3A & 4A) depicts the distribution of observations in a space defined by two principal components, after varimax rotation.

Through PCA the original multiple variables were represented by seven principal components (PCs) and, hence, led to more than 99% reduction of input parameters in the ANN model.

Principal component analyses applied only to hydrogen-bonded complexes whose experimental frequencies are known, has revealed that the six-dimensional original space can be accurately represented by a bidimensional space defined by two principal components.

At first, using the PCA method ('Reduction of inventory data by PCA' section), the inventory level of line-side and related warehouses can be estimated by two principal components (INV1 and INV2), and then, according to the shop floor data, the amount of other independent variables (TYP, PBS, RWP, ESD, and DPP) are defined.

As detailed in the Methods section, the eight NRTIs of the study were characterized by seven principal components derived from 58 molecular descriptors representing properties related to molecular geometry, flexibility, and the ability of the inhibitor to form different types of non-covalent interactions (Table S1).

Principal component analysis (PCA) revealed that these 26 proteins were correlated, and could be represented by four principal components.

For example, over 90% of the V2R variation in lab-derived strains can be represented by four principal components (eigenvalues <2).