Summarize the result of cv.svd.gabriel or
cv.svd.wold.
# S3 method for cvsvd
summary(object, ...)the result of a cv.svd.gabriel or
cv.svd.wold computation.
additional arguments to summary.
the number of cross-validation folds
the maximum rank for which prediction error is estimated.
the average mean square error of prediction (MSEP)
accross all folds for ranks 0, 1, ..., maxrank.
the standard errors of the msep.mean estimates.
the rank with the minimum msep.mean value.
the smallest rank within one standard error of the
minimum msep.mean value.
Print a table of the estimated prediction errors and the standard errors
of the estimate. Put an asterisk (*) next to the minimum and a
plus (+) next to the "one standard error rule" choice.