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
crossval_sparsity       Perform cross-validation to find the optimal
                        number of variables/groups to keep for each
                        joint component
impute_matrix           Impute missing values in a matrix
loadings                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
norm_vec                Norm of a vector
o2m                     Perform O2PLS data integration with two-way
                        orthogonal corrections
orth                    Orthogonalize a matrix
orth_vec                Orthogonalize a sparse loading vector with
                        regard to 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.
print.pre.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
ssq                     Calculate Sum of Squares
summary.o2m             Summary of an O2PLS fit
thresh_n                Soft threshholding a vector with respect to a
                        number of variables
thresh_n_gr             Soft threshholding a vector with respect to a
                        number of groups
vnorm                   Norm of a vector or columns of a matrix
