Plot results from robust PLS
The predicted values and the residuals are shown for robust PLS using the optimal number of components.
resulting object from CV of robust PLS, see
vector with values of response variable
additional plot arguments
Robust PLS based on partial robust M-regression is available at
Here the function
prm_cv has to be used first, applying cross-validation
with robust PLS. Then the result is taken by this routine and two plots are generated
for the optimal number of PLS components: The measured versus the predicted y, and
the predicted y versus the residuals.
A plot is generated.
Peter Filzmoser <P.Filzmoser@tuwien.ac.at>
K. Varmuza and P. Filzmoser: Introduction to Multivariate Statistical Analysis in Chemometrics. CRC Press, Boca Raton, FL, 2009.
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