Package check result: ERROR

Check: examples, Result: ERROR
  Running examples in ‘abclass-Ex.R’ failed
  The error most likely occurred in:
  
  > base::assign(".ptime", proc.time(), pos = "CheckExEnv")
  > ### Name: supclass
  > ### Title: Multi-Category Classifiers with Sup-Norm Regularization
  > ### Aliases: supclass supclass.control
  > 
  > ### ** Examples
  > 
  > library(abclass)
  > set.seed(123)
  > 
  > ## toy examples for demonstration purpose
  > ## reference: example 1 in Zhang and Liu (2014)
  > ntrain <- 100 # size of training set
  > ntest <- 1000 # size of testing set
  > p0 <- 2       # number of actual predictors
  > p1 <- 2       # number of random predictors
  > k <- 3        # number of categories
  > 
  > n <- ntrain + ntest; p <- p0 + p1
  > train_idx <- seq_len(ntrain)
  > y <- sample(k, size = n, replace = TRUE)         # response
  > mu <- matrix(rnorm(p0 * k), nrow = k, ncol = p0) # mean vector
  > ## normalize the mean vector so that they are distributed on the unit circle
  > mu <- mu / apply(mu, 1, function(a) sqrt(sum(a ^ 2)))
  > x0 <- t(sapply(y, function(i) rnorm(p0, mean = mu[i, ], sd = 0.25)))
  > x1 <- matrix(rnorm(p1 * n, sd = 0.3), nrow = n, ncol = p1)
  > x <- cbind(x0, x1)
  > train_x <- x[train_idx, ]
  > test_x <- x[- train_idx, ]
  > y <- factor(paste0("label_", y))
  > train_y <- y[train_idx]
  > test_y <- y[- train_idx]
  > 
  > ## regularization with the supnorm lasso penalty
  > options("mc.cores" = 1)
  > model <- supclass(train_x, train_y, model = "psvm", penalty = "lasso")
  Error: The package 'quadprog' is needed but not available.
  Execution halted