9.7 Let X1, . . . , XN denote bivariate observations from a covariance stationary time series, so of course, the observations are not independent (in general). If we wish to find the principal components, how might a correction be made for the dependence of the observations? [Hint: see eqn. (8.3.16), and assume observations follow a first order Markov process.]