# How to interpret KPSS results?

I'm using R to calculate the KPSS to check the stationarity.

The library that I'm using is tseries and the function is kpss.test

I have done a simple test using cars (a default matrix on R). The code is:

> k <- kpss.test(cars$dist, null="Trend") Warning message: In kpss.test(cars$dist, null = "Trend") :
p-value greater than printed p-value
> k
KPSS Test for Trend Stationarity

data:  cars$dist KPSS Trend = 0.0859, Truncation lag parameter = 1, p-value = 0.1 > k$statistic
KPSS Trend
0.08585069

> k$parameter Truncation lag parameter 1 > k$p.value
[1] 0.1

> k$method [1] "KPSS Test for Trend Stationarity" > k$data.name
[1] "cars\$dist"


Those are all the results that kpss returns.

My question is: How to interpret them to understand if it is stationary?