it just reports:
Cholmod error 'X and/or Y have wrong dimensions' at file ../MatrixOps/cholmod_sdmult.c, line 90.
i don't know why.
    x.m <- data.matrix(train[,c(1:43)])
    x.m [is.na(x.m)] <- 0
    y.m <- train$NPL
    cv.m <-data.matrix(cv)
    set.seed(356)
    cvfit.m.lasso = cv.glmnet(x.m, y.m, 
                      family = "binomial", 
                      alpha = 1,
                      type.measure = "class")
    par(mfrow=c(1,2))
    plot(cvfit.m.lasso, main = "Lasso")
    coef(cvfit.m.lasso, s = "lambda.min")
    predTrain.M = predict(cvfit.m.lasso, newx=cv.m, type="class")
    table(cv$NPL, predTrain.M)
It is fixed for me now. It was because I forgot to remove my Target variable from the test data , and that is why i was getting this error.
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