context("Multivariate Regression with Random Forest Model")
test_that("MVR RF functions", {
set.seed(1)
tr <- bearing[1:(nrow(bearing)/2), -1]
ob <- bearing[, -1]
model <- el.mvrRf(tr, alpha = 0.01)
score <- el.mvrRfScore(ob, model$fit)
expect_equal(round(sum(score), 5), 2.49309)
})
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