#China production function noparametric estimate
rt<-read.table("china.txt",header=TRUE);
library(np)
#semiparametric regression, package np
y1=log(rt$realgdp*100000000)
x1=log(rt$labor*10000)
x2=log(rt$capital*100000000)
h3<-npplregbw(y1~x1|x2); h3
#h3<-npplregbw(xdat=x1,ydat=y1,zdat=x2); h3
fit3<-npplreg(bws=h3)
summary(fit3)
coef(fit3)
计算结果得到：
Partially Linear Model
Regression data: 27 training points, in 2 variable(s)
With 1 linear parametric regressor(s), 1 nonparametric regressor(s)
                   y(z)
Bandwidth(s): 0.0753333
                    x(z)
Bandwidth(s): 0.08117953
                       x1
Coefficient(s): 0.5709483
Kernel Regression Estimator: Local-Constant
Bandwidth Type: Fixed
Residual standard error: 0.0001465206
R-squared: 0.999693
Continuous Kernel Type: Second-Order Gaussian
No. Continuous Explanatory Vars.: 1
那么我想问，这最后的结果怎么有这么多窗宽，他们分别表示什么含义？？？？能用表达式把含义表示出来最好。。。。。。