Class eclairs
Object storing:
U: orthonormal matrix with k columns representing the low rank component
dSq: eigen-values so that \(U diag(d^2) U^T\) is the low rank component
lambda: shrinkage parameter \(\lambda\) for the scaled diagonal component
nu: diagonal value, \(\nu\), of target matrix in shrinkage
n: number of samples (i.e. rows) in the original data
p: number of features (i.e. columns) in the original data
k: rank of low rank component
rownames: sample names from the original matrix
colnames: features names from the original matrix
method: method used for decomposition
call: the function call