Hi, I am working with the NP package, I am trying to develop prediction values from a multivariate dataset (x) and one dimensional (y) value.

My issue is that I am getting the same values as the initial observations (y data) no matter the new data I add. I know this is not normal and but I haven't found information regarding predict on the package documentation. Is there another way to predict new observations when doing nonparametric regression? Below the code

```
## create bandwidth
bw5<-npregbw(formula=,y~x1 +x2+x3+x4+x5,regtype="ll",bwmethod="cv.ls")
## create model
model3<-npreg(bws=bw5, gradients=TRUE)
## create prediction
p8<-predict(model3,newdata=w_garbage)
> p8
0.1090000 2.2200000 0.5849999 4.0200000 1.7500000 0.2980000 0.2140001 0.4000000
0.5670000
original observation values:
[1] 0.109 2.22 0.584 4.02 1.750 0.298 0.214 0.400
[9] 0.567
```