plotRMSE.regmodel function

RMSE plot for regression model

Shows plot with root mean squared error values vs. number of components for PLS model.

## S3 method for class 'regmodel'
plotRMSE(
  obj,
  ny = 1,
  type = "b",
  labels = "values",
  xticks = seq_len(obj$ncomp),
  res = obj$res,
  ylab = paste0("RMSE (", obj$res$cal$respnames[ny], ")"),
  ...
)

Arguments

• obj: a regression model (object of class regmodel)
• ny: number of response variable to make the plot for (if y is multivariate)
• type: type of the plot("b", "l" or "h")
• labels: what to show as labels (vector or name, e.g. "names", "values", "indices")
• xticks: vector with ticks for x-axis values
• res: list with result objects
• ylab: label for y-axis
• ...: other plot parameters (see mdaplotg for details)