(Root) Mean Squared Error of Prediction ((R)MSEP) and R^2 methods for LS-PLS
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logical. Whether the responses and predicted values
should be divided by the standard deviation of the response prior to
calculating the measure. This is most useful when comparing several
responses. Default is not to scale. Note that this argument is
ignored by the
Further arguments. Currently unused.
An array. The first dimension corresponds to the responses (for single-response models, the length of this dimension is 1). The rest of the dimensions correspond to the number of components from the PLS matrices.
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