问lasso回归分析时遇到警告信息？

rt <- read.csv("merged_matrix.csv",header = T,row.names = 1)

###构建模型

set.seed(10)

x=as.matrix(rt[,c(2:ncol(rt))])

y=data.matrix(rt$fustat)

x <- scale(x) # 标准化x

#y <- scale(y)

fit=glmnet(x, y, family = "binomial", maxit = 3000)

plot(fit, xvar = "lambda", label = TRUE)

cvfit = cv.glmnet(x, y, family="binomial", maxit = 30000)

Warning messages:

1: In lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs, :

one multinomial or binomial class has fewer than 8 observations; dangerous ground

2: In lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs, :

one multinomial or binomial class has fewer than 8 observations; dangerous ground

3: In lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs, :

one multinomial or binomial class has fewer than 8 observations; dangerous ground

4: In lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs, :

one multinomial or binomial class has fewer than 8 observations; dangerous ground

5: In lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs, :

one multinomial or binomial class has fewer than 8 observations; dangerous ground

6: In lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs, :

one multinomial or binomial class has fewer than 8 observations; dangerous ground

进行losso分析时一直跳出以上警告信息，最终制作出的图中AUC为1，请求各位大神的帮助。