Summary method for plda fits
Examples
fit <- plda(Species ~ ., data = iris, lambda = 0.1, autotune = FALSE)
summary(fit)
#> Penalized LDA summary
#> penalty: L1 | classes: 3 | discriminants: 2
#> lambda: 0.1
#> discriminant 1: 4 / 4 nonzero features
#> discriminant 2: 4 / 4 nonzero features
fit <- plda(Species ~ ., data = iris, lambda = 0.1, autotune = FALSE)
print(summary(fit))
#> Penalized LDA summary
#> penalty: L1 | classes: 3 | discriminants: 2
#> lambda: 0.1
#> discriminant 1: 4 / 4 nonzero features
#> discriminant 2: 4 / 4 nonzero features