如何产生多元logistic回归数据集

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我想建立一个多元logistic回归模型，满足logitP=X*beta+e。不知如何产生，希望大家帮帮我，谢谢

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关键词：logistic回归 logistic ogistic logisti logist logistic 数据集

这个例子就是这样的
多元的
用到广义线性回归 glm()函数
  
# get summary statistics
data(Affairs, package = "AER")
summary(Affairs)
table(Affairs$affairs)


# create binary outcome variable
Affairs$ynaffair[Affairs$affairs > 0] <- 1
Affairs$ynaffair[Affairs$affairs == 0] <- 0
Affairs$ynaffair <- factor(Affairs$ynaffair, levels = c(0,
    1), labels = c("No", "Yes"))
table(Affairs$ynaffair)


# fit full model
fit.full <- glm(ynaffair ~ gender + age + yearsmarried +
    children + religiousness + education + occupation + rating,
    data = Affairs, family = binomial())
summary(fit.full)


# fit reduced model
fit.reduced <- glm(ynaffair ~ age + yearsmarried +
    religiousness + rating, data = Affairs, family = binomial())
summary(fit.reduced)