To obtain ODC components and other relevant predictions in ODC method.
Usage
odc.cv(data, k, lambda2)
Arguments
data
A numberic dataset matrix.
k
An integer scalar with the desired number of groups.
lambda2
L2 penalty parameter, if lambda2=-1, then odc.clust choose the optimal lambda2 automatically given lambda2.idx. Otherwise perfoms ODC clustering using given lambda2.
Value
Z
The ODC component.It is an n by k-1 matrix where n is the number of observations.
yhat
Predicted scoring matrix Y using ODC method.
what
Predicted W using ODC method.
s
Predicted S using ODC method.
hnx
The product of an n by n centering matrix and the input data matrix.