OmicsPLS-package |
Data integration with O2PLS: Two-Way Orthogonal Partial Least Squares |
adjR2 |
Gridwise adjusted R2 for O2PLS |
crossval_o2m |
Cross-validate procedure for O2PLS |
crossval_o2m_adjR2 |
Adjusted Cross-validate procedure for O2PLS |
loadings |
Extract the loadings from an O2PLS fit |
loadings.o2m |
Extract the loadings from an O2PLS fit |
loocv |
K fold CV for O2PLS |
loocv_combi |
K-fold CV based on symmetrized prediction error |
mse |
Calculate mean squared difference |
o2m |
Perform O2-PLS data integration with two-way orthogonal corrections |
OmicsPLS |
Data integration with O2PLS: Two-Way Orthogonal Partial Least Squares |
orth |
Orthogonalize a matrix |
plot.o2m |
Plot one or two loading vectors for class o2m |
predict.o2m |
Predicts X or Y |
print.cvo2m |
Cross-validate procedure for O2PLS |
print.o2m |
Print function for O2PLS. |
rmsep |
Root MSE of Prediction |
rmsep_combi |
Symmetrized root MSE of Prediction |
scores |
Extract the scores from an O2PLS fit |
scores.o2m |
Extract the scores from an O2PLS fit |
ssq |
Calculate Sum of Squares |
summary.o2m |
Summary of an O2PLS fit |
vnorm |
Norm of a vector or columns of a matrix |