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graph of variance explained in the predictors according to components used.
plot_pred_rd(model, n.comp = "n.comp.rd")
a dimension reduction model.
the name of the variable that stores the optimum number of components.
# NOT RUN { library(pls) x <- rd_model('iris', 'Petal.Length') exe(x) plot_pred_rd(modelo.rd) # }
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