代码：
rm(list=ls())
data<-read.table("d:/广义加性模型试验.csv",head=TRUE,sep=",")
head(data)
colnames(data)<-c("y","x1","x2","x3","x4","x5")
data<-as.data.frame(data)
data
head(data)
library(mgcv)
library(nlme)
whole.data<-gam(y~s(x1,bs="ts")+s(x2,bs="ts")+s(x3,bs="ts")
                +s(x4,bs="ts")+s(x5,bs="ts"),
                data=data,fimily="poisson")
par(mfrow=c(3,2),mar=c(4,4,0.5,0.5))
plot(whole.data,scale=0,pages=0,select=1,
     xlab="x1",ylab="y",
     residuals=T,shade=T,lwd=2,pch=1,cex=0.5)
plot(whole.data,scale=0,pages=0,select=2,
     xlab="x2",ylab="y",
     residuals=T,shade=T,lwd=2,pch=1,cex=0.5)
plot(whole.data,scale=0,pages=0,select=3,
     xlab="x3",ylab="y",
     residuals=T,shade=T,lwd=2,pch=1,cex=0.5)
plot(whole.data,scale=0,pages=0,select=4,
     xlab="x4",ylab="y",
     residuals=T,shade=T,lwd=2,pch=1,cex=0.5)
plot(whole.data,scale=0,pages=0,select=5,
     xlab="x5",ylab="y",
     residuals=T,shade=T,lwd=2,pch=1,cex=0.5)