<p>Each PCA vector represents a specific combination of the 1656 chemical descriptors. The three most outlying groups can be observed. An in depth study was performed with HCA analysis.</p
<p>Principal components analysis (PCA) of three factors and of one factor. Matrix of items.</p
<p>Score- and loadingplots of relative number of compounds in chemical classes after one (a), three ...
The figure shows the first two principal components after merging the acquired datasets. The samples...
<p>Principal component analysis (PCA) scores plot from low, intermediate and high MEE groups.</p
<p>Principal component analysis (PCA) score plot between the low and high MEE groups.</p
<p>The scores plot generated from principal component analysis (PCA) of all the analytes (A) and the...
<p>Scatter plot of individuals, showing the first two principal components. Each symbol corresponds ...
<p>Principal component analysis (PCA) was used to reduce the dimension of the tertiary dataset compr...
PCA score plot of samples from control and transgenic lines. Each with triplicate samples taken for ...
Principal components analysis (PCA) is a multivariate ordination technique used to display patterns ...
<p>(A) Histogram of eigenvalues, (B) Principal Component Analysis (PCA) plot of factor loadings in t...
<p>Note: Each colored point represents a sample. The first, second and third principal components ar...
<p>(A) Correlation loadings plot from principal component analysis showing the Mixolab and SDSS test...
<p>A, B and C: Hyperplane between the first and second principal components (PC1 and PC2, respective...
<p><b><i>A</i></b>, first and second principal components. <b><i>B</i></b>, first and third principa...
<p>Principal components analysis (PCA) of three factors and of one factor. Matrix of items.</p
<p>Score- and loadingplots of relative number of compounds in chemical classes after one (a), three ...
The figure shows the first two principal components after merging the acquired datasets. The samples...
<p>Principal component analysis (PCA) scores plot from low, intermediate and high MEE groups.</p
<p>Principal component analysis (PCA) score plot between the low and high MEE groups.</p
<p>The scores plot generated from principal component analysis (PCA) of all the analytes (A) and the...
<p>Scatter plot of individuals, showing the first two principal components. Each symbol corresponds ...
<p>Principal component analysis (PCA) was used to reduce the dimension of the tertiary dataset compr...
PCA score plot of samples from control and transgenic lines. Each with triplicate samples taken for ...
Principal components analysis (PCA) is a multivariate ordination technique used to display patterns ...
<p>(A) Histogram of eigenvalues, (B) Principal Component Analysis (PCA) plot of factor loadings in t...
<p>Note: Each colored point represents a sample. The first, second and third principal components ar...
<p>(A) Correlation loadings plot from principal component analysis showing the Mixolab and SDSS test...
<p>A, B and C: Hyperplane between the first and second principal components (PC1 and PC2, respective...
<p><b><i>A</i></b>, first and second principal components. <b><i>B</i></b>, first and third principa...
<p>Principal components analysis (PCA) of three factors and of one factor. Matrix of items.</p
<p>Score- and loadingplots of relative number of compounds in chemical classes after one (a), three ...
The figure shows the first two principal components after merging the acquired datasets. The samples...