Description Usage Arguments Value Examples
PCA over a X matrix by singular value decomposition, the preprocessing involves the mean-centering of X.
1 |
x |
A data matrix on which will be based the analysis. |
ncomp |
Number of Principal Components. |
A list with the following elements:
scores
Scores
loadings
Loadings
eigval
Eigenvalues
pcd
Singular values
pcu
Normalized scores
var
Explained variance
cumvar
Cumulated explained variance
original.dataset
Original dataset
1 2 | data('HumanSerum')
PCA.res = SVDforPCA(HumanSerumSpectra)
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