Multi-variate rcs() error

x wrote:

x2            NA  1.797e+14        NA       NA
x2'           NA  6.475e+14        NA      

NA

Residual standard error: 82.44 on 95 degrees of

freedom

Adjusted R-Squared: 0.9992 
Error in if (coef[i] > 0 & (i > 2 |

coef[1]

!= 0 | Intc != 0)) "+" else NULL : missing

value

where TRUE/FALSE needed

It just appears that you have perfect prediction, so

you

have quite an unusual dataset to be doing inference

on.

Frank

OK, I tried different test datasets.

1) y1 <- rnorm(1000); x1 <- runif(1000); x2 <-
runif(1000);
does NOT show any error.

2) y1 = 10*x1*e1 + 10*x2*e1 + 100*e1 where x1=1..100,
x2=100..1, e1=Gaussian noise
gives me error like before. 

3) y1 = x1^3*e1 + x2^3*e1 + 100*e1^2 also gives me the same
error. 

Now, why should there be perfect prediction in cases 2
& 3?