# data
#-----
set.seed(1)
x = matrix(runif(1000), nrow = 100, ncol = 10)
x_lst = list(x, x)
# response regression
#--------------------
set.seed(3)
y_reg = runif(100)
# response "binary" classification
#---------------------------------
set.seed(4)
y_BINclass = sample(1:2, 100, replace = T)
# response "multiclass" classification
#-------------------------------------
set.seed(5)
y_MULTIclass = sample(1:3, 100, replace = T)
# data for sparse matrices
#-------------------------
data(ionosphere, package = 'KernelKnn')
X = as.matrix(ionosphere[, -c(1:2, ncol(ionosphere))])
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