Constructs a PLS2CrossValidationResult instance from the given data, partial least squares calculation object, and number of components (aka latent vector).

Creates a deep copy of this PLS2CrossValidationResult.

Determines whether the specified Object is equal to the current Object.

Serves as a hash function for a particular type.

Gets the Type of the current instance.

Returns a String that represents the current Object.

Gets the cross validation data used for this result.

Whether the calculation was successful.

Gets the mean square error for this cross validation result. This is the mean squared error between the actual dependent data values and those predicted by the model constructed from the training data.

Gets any message that may have been generated by the calculation. For example, if the calculation is unsuccessful, the message indicates the reason.