This paper draws parallels between the principal components analysis of factorless high‐dimensional nonstationary data and classical spurious regression. We show that a few such absorb nearly all variation. The corresponding scree plot suggests contain factors, which is corroborated by standard panel information criteria. Furthermore, Dickey–Fuller tests unit root hypothesis applied to estimate...