ConsensusOPLS-class | R Documentation |

`ConsensusOPLS`

S4 classAn object returned by the `ConsensusOPLS`

function,
of class `ConsensusOPLS`

, and representing a fitted Consensus OPLS
model.

`modelType`

The type of requested OPLS regression model.

`response`

The provided response variable (Y).

`nPcomp`

Number of Y-predictive components (latent variables) of the optimal model.

`nOcomp`

Number of Y-orthogonal components (latent variables) of the optimal model.

`blockContribution`

Relative contribution of each block (normalized

`lambda`

values) to the latent variables.`scores`

Representation of the samples in the latent variables of the optimal model.

`loadings`

Contribution of each block's variables to the latent variables of the optimal model.

`VIP`

Variable importance in projection (VIP) for each block of data, assessing the relevance of the variables in explaining the variation in the response.

`R2X`

Proportion of variation in data blocks explained by the optimal model.

`R2Y`

Proportion of variation in the response explained by the optimal model.

`Q2`

Predictive ability of the optimal model.

`DQ2`

Predictive ability of the optimal model, for discriminant analysis.

`permStats`

Q2 and R2Y of models with permuted response.

`cv`

Cross-validation result towards the optimal model. Contains

`AllYhat`

(all predicted Y values as a concatenated matrix),`cvTestIndex`

(indexes for the test set observations during the cross-validation rounds),`DQ2Yhat`

(total discriminant Q-square result for all Y-orthogonal components),`nOcompOpt`

(optimal number of Y-orthogonal components (latent variables) for the optimal model), and`Q2Yhat`

(total Q-square result for all Y-orthogonal components).

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