Constructs a PLS2Anova instance for the given PLS2 object.

Creates a deep copy of this PLS2Anova.

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 R squared value. Also, called the coefficient of determination.

Gets the degrees of freedom for the data. This is

CopyC#

number of samples - number of components - 1

Gets the mean square error for prediction. This is the residual sum of squares divided by the number of samples.

Gets the matrix of residuals. This is the matrix of differences between the given response values and the response values predicted by the regression model.

Gets the root mean square error for prediction. This is the square root of the mean square error for prediction.

Gets the standard error for the model. This is the square root of the residual sum of squares divided by the degrees of freedom for the model.

Gets the sum of squares for the residuals. This is the sum of the squared differences between the response values and the responses predicted by the regression model.

Returns the total sum of squares for the model. This is the sum of the squared deviations from the mean of the elements of the response matrix.