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  0.1 > k$method  "KPSS Test for Trend Stationarity" > k$data.name  "cars$dist"
Those are all the results that kpss returns.
My question is: How to interpret them to understand if it is stationary?
Thank you in advance!