REGRESSION Lineaire MULTIPLE dans R (les bases)| Comment dans R? | caps 73 

/ @luluscommentdansr
Dans cette capsule, je te montre les bases de la regression multiple dans R,
suite direct de la regression lineaire simple • Le modele de REGRESSIO... et du modele polynomiale • REGRESSION POLYNOMIALE...
Merci de preferer #CommentdansR
Lulus
REGRESSION Lineaire MULTIPLE dans R (les bases)| Comment dans R? | caps 73
*******Codes*****
data("mtcars")
head(mtcars)
sub.mtcars=mtcars[c("mpg","hp","disp","wt")]
cor(sub.mtcars)
pairs(sub.mtcars)
library(car)
scatterplotMatrix(sub.mtcars,smooth = FALSE,
pch = 19,main="Scatter Plot Matrix",
regLine = list(method=lm, lwd=1,col="red"))
?scatterplotMatrix
attach(sub.mtcars)
fit=lm(mpg~hp+disp+wt+0, data = sub.mtcars)
summary(fit)
a
fit=lm(mpg~., data=sub.mtcars)
summary(fit)
vif(fit)
fit=lm(mpg~.-disp, data=sub.mtcars)
summary(fit)
fit2=lm(mpg~hp+wt+disp+hp:wt, data=sub.mtcars)
summary(fit2)
fit2=lm(mpg~hp*wt-disp, data=sub.mtcars)
summary(fit2)
fit3=lm(mpg~hp*wt+I(wt^2),data=sub.mtcars)
summary(fit3)
par(mfrow=c(2,2))
sub.mtcars=cbind(sub.mtcars, n=1:32)
plot(lm(mpg~hp+wt+wt:hp,data=sub.mtcars[-c(18),]))