two question about how to use "npcoefbw" 可变系数非参数估计

As a beginner of R, I have two question about how to use "npcoefbw", which must be very easy for you.I will appreciate it very much,if you can take a look at this:

1. My model is  y=g(z)+b(z)x=[1,x]*[g(z),b(z)]+e=w*beta(z)+e

2. The code I try is:
X<-data.frame(1,z)
Z<-data.frame(x,x)
bw<-npscoefbw(xdat=X,ydat=y,zdat=Z,betas=TRUE)
model<-npscoef(bw)

3.My question is:
(1) Is the code right
(2) I've got beta[1:n,1:3], while the supposed one is beta[1:n,1:2] since beta(z)=[g(z),b(z)].I'm not sure which two correspond to g(z) and b(z), and what's the details of the left one.

Thanks for attention or curiousness!

coef(model)
         Intercept            X1               z   
  [1,] 1868.449525 -3.464752e+00  4.473262e-07
  [2,]  826.675153 -5.975460e-01  2.053416e-07
  [3,] 2520.905509  4.123167e+00 -3.951344e-07
I've just find this, and beta 1:3 each correspond to Intercept,X1,z. Is the coefficient of z b(z)? Which one is g(z)?

What's X1?

楼主用的数据是面板还是截面？