Summarize the result of cv.svd.gabriel or
cv.svd.wold.
# S3 method for cvsvd
summary(object, ...)the number of cross-validation folds
the maximum rank for which prediction error is estimated.
the average mean square error of prediction (MSEP) across 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.
the result of a cv.svd.gabriel or
cv.svd.wold computation.
additional arguments to summary.
Patrick O. Perry
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.
cv.svd.gabriel, cv.svd.wold,
plot.cvsvd print.cvsvd