lm
predict(object, newdata, se.fit = FALSE, scale = NULL, df = Inf,
interval = c("none", "confidence", "prediction"),
1m(）生成一个预测向量，如果设置interval，则生成一个预测和边界矩阵，列名为fit lwr和upr。
例: model=lm(eruptions~waiting)
predict(model,data.frame(waiting=80),interval = "confidence")
fit lwr upr
1 4.17622 4.104848 4.247592
predict(model,data.frame(waiting=80),interval = "prediction")
fit lwr upr
1 4.17622 3.196089 5.156351
这就是3个列名，英文缩写
lwr=lower
upr=upper
fit就是字面意思