print.enspls.ad: Print enspls.ad Object

In enpls: Ensemble Partial Least Squares Regression

Description

Print enspls.ad object.

Usage

## S3 method for class 'enspls.ad'
print(x, ...)

Arguments

x	An object of class enspls.ad.
...	Additional parameters for print.

Author(s)

Nan Xiao <https://nanx.me>

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)

enpls documentation built on May 18, 2019, 9:02 a.m.