R: Data Integration with Two-Way Orthogonal Partial Least Squares

# Data Integration with Two-Way Orthogonal Partial Least Squares

## Documentation for package ‘OmicsPLS’ version 2.1.0

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

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
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
norm_vec | Norm of a vector
o2m | Perform O2PLS data integration with two-way orthogonal corrections
OmicsPLS | Data integration with O2PLS: Two-Way Orthogonal Partial Least Squares
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
scores.o2m | 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