Shows plot with RMSE values vs. model complexity (e.g. number of components).
# S3 method for regres
plotRMSE(
obj,
ny = 1,
type = "b",
xticks = seq_len(obj$ncomp),
labels = "values",
show.plot = TRUE,
ylab = paste0("RMSE (", obj$respnames[ny], ")"),
...
)regression results (object of class regres)
number of predictor to show the plot for (if y is multivariate)
type of the plot
vector with ticks for x-axis
what to use as labels ("names", "values" or "indices")
logical, show plot or just return plot data
label for y-axis
other plot parameters (see mdaplot for details)