estimate.BayesPLS: Estimation function for Bayes PLS
In solvsa/BayesPLS: Bayesian estimation in PLS regression

Estimates regression coefficients (with quantiles) and noise variance from a fitted Bayes PLS object.

1	estimateBayesPLS(obj, start = 1, stop = NULL, thin = 1, probs = c(0.025, 0.975))

`obj`	A fitted Bayes PLS object as returned from a call to BayesPLS().
`start`	Start from this iteration number.
`stop`	Stop at this iteration number.
`thin`	Thinning interval.
`probs`	Quantiles to be computed from the estimated posterior distributions.

`coefficients`	The estimated regression coefficients.
`intercept`	The estimated intercept coefficient.
`sigma.sq`	The estimated noise variance.
`quantiles`	The quantiles (as set in probs) for the posterior distributions of the regression coefficients.
`quantiles.int`	The estimated quantiles for posterior distribution of the intercept coefficient.
`quantiles.sigma.sq`	The estimated quantiles for posterior distribution of the noise variance.