if (FALSE) {
data(dataExample_lpca)
Y = as.matrix(dataExample_lpca[, 1:8])
X = as.matrix(dataExample_lpca[, 9:13])
# supervised
output = lpca(Y = Y, X = X, S = 2)
boot.output = bootstrap.lpca(output, Bsamples = 100)
plot(boot.output)
}
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