The PLS1Anova type exposes the following members.

Properties

  NameDescription
CoefficientOfDetermination
Gets the R squared value. Also called the coefficient of determination.
DegreesOfFreedom
Gets the degrees of freedom for the data. This is number of samples - number of components - 1.
MeanSqrErrorPrediction
Gets the mean square error for prediction. This is the residual sum of squares divided by the number of samples.
Residuals
Gets the vector of residuals. This is the vector of differences between the given response values and the response values predicted by the regression model.
RootMeanSqrErrorPrediction
Gets the root mean square error for prediction. This is the square root of the mean square error for prediction.
StandardError
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.
SumOfSquaresResiduals
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.
SumOfSquaresTotal
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 the response vector.

See Also