<p>These three principal components, combined, explain 96.5% of the net variance in the dataset.</p
<p>Eigenvalues and their proportion of explained variance from Principal component analysis.</p
<p>The first principal component accounts for 94.7% of variation and the second component explained ...
All observed molecular vibrations contribute to the observed pattern in the scores plot in Fig 2. Th...
<p>Percent of variance on the first three axes from principal component analyses by user for each la...
<p>First two column give the mean and variance of the first four principal components for the set of...
<p>Proportion of variance in the original indicator dataset explained in by each principal component...
<p>Scree plot showing the proportion of variance that is unaccounted for against the number of Princ...
Percentage of variance of the third first principal component of the landmarks configuration PCA of ...
<p>Eigenvalues, percent variance explained, and summary of loadings for first 4 principal components...
<p>(<b>A</b>) The most important principal components for the group are the first four components wi...
The structures in Figs 3 and S7 are taken from the first six (red) PCs which explain approximately 5...
Top panel: Relative proportion of variance explained (eigenvalues) for the first nine principal comp...
Explained variance in percent with respect to the number of principal components for the interpretat...
Percentage of variance and ANOVA results of the first three principal components (PCs) of the landma...
Plot of eigenvalues for the first two principal components of a principal components analysis of fiv...
<p>Eigenvalues and their proportion of explained variance from Principal component analysis.</p
<p>The first principal component accounts for 94.7% of variation and the second component explained ...
All observed molecular vibrations contribute to the observed pattern in the scores plot in Fig 2. Th...
<p>Percent of variance on the first three axes from principal component analyses by user for each la...
<p>First two column give the mean and variance of the first four principal components for the set of...
<p>Proportion of variance in the original indicator dataset explained in by each principal component...
<p>Scree plot showing the proportion of variance that is unaccounted for against the number of Princ...
Percentage of variance of the third first principal component of the landmarks configuration PCA of ...
<p>Eigenvalues, percent variance explained, and summary of loadings for first 4 principal components...
<p>(<b>A</b>) The most important principal components for the group are the first four components wi...
The structures in Figs 3 and S7 are taken from the first six (red) PCs which explain approximately 5...
Top panel: Relative proportion of variance explained (eigenvalues) for the first nine principal comp...
Explained variance in percent with respect to the number of principal components for the interpretat...
Percentage of variance and ANOVA results of the first three principal components (PCs) of the landma...
Plot of eigenvalues for the first two principal components of a principal components analysis of fiv...
<p>Eigenvalues and their proportion of explained variance from Principal component analysis.</p
<p>The first principal component accounts for 94.7% of variation and the second component explained ...
All observed molecular vibrations contribute to the observed pattern in the scores plot in Fig 2. Th...
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