I am trying to loop through a regression but am having issues. Here is my reproducible data:

```
data(iris)
model1 <- lm(Sepal.Length ~ Sepal.Width, data=iris1)
model2 <- lm(Sepal.Length ~ Sepal.Width + Petal.Length + Petal.Width, data=iris1)
predict1 <- function(value, model){
y = model$coefficients[1] + (model$coefficients[-1]%*% value)
return (y)
}
predict2 <- function(values, model){
y = model$coefficients[1] + (model$coefficients[-1]%*% values)
return (y)
}
n = 300
for (i in 1:n){
iris1 <- iris[sample(1:nrow(iris), 50, replace = TRUE),]
## I suspect there is something wrong here, but I am not sure what the issue is...
model1[[i]] <- lm(Sepal.Length ~ Sepal.Width, data=iris1)
model2[[i]] <- lm(Sepal.Length ~ Sepal.Width + Petal.Length + Petal.Width, data=iris1)
predictions1 <- predict1(iris1$Sepal.Width[[i]], model1[[i]])
values <- c(iris1$Sepal.Width, iris1$Petal.Length, iris1$Petal.Width)
predictions2 <- predict2(values[[i]], model2[[i]])
}
```