enpls (version 5.6)

print.enspls.ad: Print enspls.ad Object

Description

Print enspls.ad object.

Usage

"print"(x, ...)

Arguments

x

An object of class enspls.ad.

...

Additional parameters for print.

See Also

See enspls.ad for model applicability domain evaluation with ensemble sparse partial least squares regressions.

Examples

data("logd1k")
# remove low variance variables
x = logd1k$x[, -c(17, 52, 59)]
y = logd1k$y

# training set
x.tr = x[1:300, ]
y.tr = y[1:300]

# two test sets
x.te = list("test.1" = x[301:400, ],
            "test.2" = x[401:500, ])
y.te = list("test.1" = y[301:400],
            "test.2" = y[401:500])

set.seed(42)
ad = enspls.ad(x.tr, y.tr, x.te, y.te,
               maxcomp = 3, alpha = c(0.3, 0.6, 0.9),
               space = "variable", method = "mc",
               ratio = 0.8, reptimes = 10)
print(ad)