								-*- org -*-
* Priority 1-2 (urgent - important)
** TODO REML <-> ML 'Std.Error's for fixed effecs in summary(n?lme()) are the *same* but should not,
 Both S+ nlme [note from Siem Heisterkamp] and e.g. lme4 do differ.
** DONE svn ci -m'patch from Siem Heisterkamp ['apVar' for "fixed sigma"] + changes to make intervals(.) working'
*** svn-diffB R/gls.R R/gnls.R R/lme.R R/newFunc.R R/nlme.R man/glsControl.Rd man/gnlsControl.Rd man/gnlsObject.Rd man/intervals.lmList.Rd man/intervals.lme.Rd man/lmeControl.Rd man/lmeObject.Rd man/nlmeControl.Rd man/nlmeObject.Rd tests/sigma-fixed-etc.R

** DONE svn ci -m'fix qqnorm.lme() bug - undetected because of "wrong" \dontrun{}'
*** svn-diffB R/lme.R man/qqnorm.lme.Rd

* Priority 3-4 (project for ...)
** TODO stats::summary.lm  ,  stats::print.summary.lm by default do *NOT*
  compute and print the correlation matrix.
*** stats:::summary.lm (object, correlation = FALSE, symbolic.cor = FALSE, ...)
*** stats:::print.summary.lm (x, digits = max(3L, getOption("digits") - 3L),
                              symbolic.cor = x$symbolic.cor,
  			      signif.stars = getOption("show.signif.stars"), ...)
*** 'nlme' should at least *allow* to not compute and print
    so people would use  summary(.)  much more often probably !
    MM thinks the default should even *change* not to print the correlation

** TODO Bug 16703 -- corFactor/corMatrix use O(n^2) storage - sparseMatrix would help
*** https://bugs.r-project.org/show_bug.cgi?id=16703
** TODO Bug 16806 - nlme getVarCov() fails for corSpatial fits for individuals with a single observation only
*** https://bugs.r-project.org/show_bug.cgi?id=16806

** TODO methods extractAIC.lme & extractAIC.gls should be here rather than in MASS,
 because extractAIC() and step() are in stats
* Priority 5 (nice to have)
