Changes since version 1.6-4

  * Argument for supplying a variance-covariance matrix now consistently named 'vcov'
    across all functions. The old argument '.vcov' of summary.plm is marked as deprecated.
    Deprecation warnings are only issued for those functions which where on CRAN with
    the now deprecated argument '.vcov' (i.e., just for summary.plm, no warnings for
    functions pwaldtest, fixef, within_intercept).
  * Snesp.Rd, LaborSupply.Rd: broken links fixed.
  * Vignette: updated contact details.

Changes since version 1.6-3

  * Function Ftest renamed to pwaldtest (there was never a CRAN release with Ftest
    exported, thus no deprecation warning).
  * summary.plm: F statistic uses adjusted df2 parameter in case of robust vcov.

Changes since version 1.6-2

  * pcdtest optimized for speed. 'preshape()' added to pcdtest.R to take care of reshaping in wide form
    prior to applying 'cor()'.

Changes since version 1.6-1

  * vcovG and vcovBK: added compliance with instrumental variables models (through two-parts formulae).
  * plm.Rd: added note on the intercept in 'fd' models, and how to eliminate it.
  * make.pbalanced: gained argument 'balance.type' which allows to select whether
    to balance by filling in NA values ("fill", like before) or (now new) also by
    keeping only time periods shared among all individuals ("shared").
  * pbsytest: issue warning when applied to an unbalanced model (unbalanced tests still in preparation).
  * print.summary.plm: for "between" models: print the no. of obs used in estimation
    (like for "fd" models since 1.5-24).
  * pcdtest:
      * returned htest object has correct data.name value now.
      * NaN stemming from non-intersecting periods or only one shared period of 
        pairs of individuals avoided by omission from calculation.
      * pcdtest(some_var ~ 1, data) does not error anymore.
  * NEWS file: order of entries changed: latest entries now at top of file.
  * pdim.pseries: added method.
  * is.pbalanced.*: methods added to determine balancedness for convenience. Same as pdim()$balanced,
    but avoids calculations performed by pdim() which are not necessary to determine (just) the
    balancedness.
  * some functions little more efficient by using is.pbalanced() instead of pdim()$balanced.


Changes since version 1.5-35

  * pbltest.plm: plm interface now respects the 'alternative' argument.
  * summary.plm: summary.plm objects gained new component 'df' to mimic summary.lm objects more closely.
  * gettvalue() added as (internal) function to quickly extract one or more t values from an estimated model
    (so one can avoid a call to summary() with all the other unnecessary computations).


Changes since version 1.5-34

  * Ftest: support for vcovs from package clubSandwich to allow df2 adjustment in robust F test
           (new func trans_clubSandwich_vcov added for this purpose).
  * (internal) model.matrix.pFormula: case "pooling" added to twoways/unbalanced condition;
                                      for unknown cases, give meaningful error.
  * alias.plm, alias.pFormula added: complements the generic stats::alias to detect linear 
                                     dependence (much like detect_lin_dep).
  * detect_lin_dep.plm added.
  * plm objects gained element 'aliased' (a named logical) to indicate any aliased coefficients that are 
    silently dropped during estimation by plm (cf. summary.lm objects).
  * fix: vcovXX.plm / vcovG framework now handle plm models with aliased coefficients (linear dependent columns
    in model matrix).
  * phtest: better support for between models in phtest;
            for method="aux", argument effect is now extracted from dots.


Changes since version 1.5-33

  * (internal) pdiff gained 'effect' argument and thus is more general.
  * plm: trying to estimate first-difference (FD) models with effect="time" or "twoways" is now prevented 
         with meaningful error messages; footnote 3 in vignette slightly adapted to reflect this.

  
Changes since version 1.5-32

  * pcdtest: fixed p-value for cross-sectional dependence scaled LM test (pcdtest(..., test = "sclm")).


Changes since version 1.5-31

  * fixef: return value is now class c("fixef", "numeric") ("numeric" added).
  * summary.fixef: return value is now of class c("summary.fixef", "matrix") ("matrix" added);
                   type and df.residual added as attributes.
    Both class additions allow easier further processing of the return values. 


Changes since version 1.5-30

  * lagt.pseries (experimental, non exported function): now handles NA values in time index.
  * warning about NA in time index turned into a note being printed (in func pdata.frame).


Changes since version 1.5-29

  * print.pdata.frame: workaround to prevent error when printing pdata frames with duplicated row names
    (original row names are suppressed for printing).


Changes since version 1.5-28

  * phtest (regression based): if only one regressor in formula, the test does not stop anymore.


Changes since version 1.5-27

  * model.matrix.pFormula: little speed up of within transformation in the two-ways unbalanced case.
  * model.matrix.pFormula: little speed up for some more transformations by using .colMeans instead 
                           of apply(X, 2, mean).


Changes since version 1.5-26

  * residuals.plm: residuals extracted by residuals(plm_object) now have class c("pseries", "numeric")
                   (was just "pseries" before).


Changes since version 1.5-25

  * fixef: * summary.fixef: t distribution is used for p-value calculation (like the heading states).
           * fixef: for the t distribution to be applied for p-value calculation, objects of class "fixef" 
             gained a "df.residual" element.


Changes since version 1.5-24

  * print.summary.plm: for FD models: now also prints number of observations used during estimation, because
                       these differ from the number of observations (rows) in the model frame due to diff-ing.
  * pres: fixed handling of pggls' FD models and, thus, summary on pggls' FD models now works without error.
  * pbltest: now has a plm interface (besides the formula interface).


Changes since version 1.5-23

  * make.pconsecutive: new function to make a (p)data.frame or pseries consecutive, meaning having consecutive
                       time periods, t, t+1, t+2, ..., where t is an integer (fills in missing time periods).
                       Optionally, by argument balanced, (p)data.frames or pseries can be made consecutive 
                       and at the same time also balanced.
  * make.pbalanced: new function to make a (p)data.frame or pseries balanced (but not consecutive)
                    (fills in missing time periods).


Changes since version 1.5-22

  * pdata.frames are now more consistent after subsetting:
      => identical(pdataframe, pdataframe[1:nrow(pdataframe), ]) yields TRUE now
       * fixed: after subsetting unnecessary information was added to the resulting pdata.frame.
       * fixed: mode of index attribute was changed (unintentionally "simplified").
  * pdata.frame is now a little more informative about NA values in either individual or time index
    (a warning issued when such a pdata.frame is created).
  * [.pdata.frame: indexing a pdata.frame is now fully consistent to indexing a data.frame (as documented):
       * fixed: special case of indexing by [i] (missing j) which erroneously returned rows instead of columns.
  * pdata.frame's warnings:
       * if duplicate couples or NA values in the index variables are found while creating a pdata.frame,
         the warning now gives users a hint how to find those (table(index(your_pdataframe), useNA = "ifany").
       * printed is now "id-time" (was: "time-id") to be consistent with order of index variables.


Changes since version 1.5-21

  * new function as.list.pdata.frame:
      Default behaviour is to act identical to as.list.data.frame (some code relies on this, do not change!).
      By setting arg 'keep.attributes = TRUE', one gets a list of pseries and can operate (e.g. 'lapply') 
      over this list as one would expect for operations on the columns of a pdata.frame, e.g. to lag over 
      more than one column and get a list of lagged columns back, use:
        lapply(as.list(pdataframe[ , your_cols], keep.attributes = TRUE), lag).


Changes since version 1.5-20

  * vcovXX.pcce methods added by copying the vcovXX.plm ones; work just the same, sandwiching the appropriate 
    "meat" in transformed data. General reference is Wooldridge, Ch. 7.


Changes since version 1.5-19

  * pcce now supports model.matrix and pmodel.response methods, extracting the transformed data so that the 
    estimator can be replicated by lm(pmodel.response(model) ~ model.matrix(model)); this is needed both for
    vcovXX functions and for cluster bootstrapping.
  * summary.pcce outputs the R2 calculated according to Holly, Pesaran and Yamagata instead of RSS/TSS.


Changes since version 1.5-18

  * pcdtest: small efficiency enhancement (calc only lower.tri of rhos).
  * pos.index (internal, not exported): new func to determine column numbers of index vars in pdata.frame.
  * cosmetics: * some extraction/subsetting functions doubled 'pseries' in the class of returned value (fixed now).
               * extraction methods for pdata.frame and pseries now preserve order of attributes.
               * class "pindex" for attribute index not lost anymore after subsetting a pdata.frame.


Changes since version 1.5-17

	* lagt.pseries: new method respecting "content" of time periods [not yet exported due to testing].
	* is.pconsecutive: default method exported so it can be used for arbitrary vectors.


Changes since version 1.5-16
  
	* plmtest:  * fixed p-values [for type="kw" and "ghm"],
              * unbalanced version of all test statistics implemented,
              * doc update with literature references to unbalanced tests,
              * if requested, the "kw" statistic is now also calculated as one-way ("individual" or "time"), 
                albeit they coincide with respective "bp" statistics.
	* pwtest: formula interface respects 'effect' argument, 'effect' argument now mentioned in doc.
	* data set 'Wages': factor 'sex' re-leveled to c("male", "female") to match use in original paper.
	* print.summary.plm: suppress printing of 'effects' argument in top line in case of 'pooling' model.
	* doc for between, Between, Within extended; doc for lag, lead, diff in separate file now (lag_lead_diff.Rd)
	* pdata.frame: * fixed bug: do not assume a specific order of data when only individual index is supplied,
	               * resulting pdata.frame is ordered by individual, then time index,
	               * when duplicate couples (id-time) are created, a warning is issued,
	               * new argument 'stringAsFactors'.
	* pvar: * fixed warning about var on factor variable (var on factors is deprecated as of R 3.2.3),
	        * fixed corner case with one group being all NA and other non-varying,
	        * print.pvar: better handling of NA values.
	* lag/lead: fixed bug with dropped factor levels, added testfile tests/test_lag_lead_factor_levels.R.
	* is.pconsecutive: * new function to check if time periods are consecutive per individual,
	                   * better NA handling, added argument rm.na.tindex.
	* pgmm: fixed bugs affecting the instrument matrix in the following cases:
			  * gmm instruments are collapsed and restricted in lag length;
			  * first lags are used as gmm instruments;
			  * gmm instruments are collapsed in system GMM;
			  * gmm instruments are restricted in lag length in system GMM.
	* punbalancedness: data frame interface gains 'index' argument.
	* within_intercept: new function to calculate an overall intercept along its standard error for FE models
	                    a la Stata (and Gretl), accepts argument '.vcov' for user defined vcov.
	* added help topic on package as a whole (?`plm-package`) for sake of completeness
	* summary.plm: * argument '.vcov' can also be a function (before, only only matrix was possible).
	               * internal: the furnished vcov is saved in the summary.plm object in object$rvcov
	                           (vcov function name in attr(object$rvcov, which="rvcov.name").
	* Ftest: * gained '.vcov' argument, which enables robust F test and chi-sq test
	           [robust versions not yet weaved in summary.plm].
	         * now exported and has documentation (.Rd file).
	         * returned htest object has vcov's name in 'method' element (if vcov was supplied)
	* (internal) vcovXX functions: furnished vcovs gain attribute "cluster" which give info about clustering,
	                               e.g. "group" or "time".
	* fixef: gains new argument '.vcov'.


Changes since version 1.5-15

	* punbalancedness: new function for unbalancedness measures for panel data as
	  in Ahrens/Pincus (1981); added doc and testfile for punbalancedness.
	* DESCRIPTION: added URLs for package on CRAN and package on R-Forge.
	* model.matrix.pFormula and plm.fit: include 'assign' and 'contrasts' attributes (if any) in model fit
	* Vignette: summary(lme_mod)$coef$fixed -> summary(lme_mod)$coefficients$fixed to avoid
	  partial matching of 'coef' to 'coefficients' by "$" operator.
	* r.squared: adjusted R squared fixed (at least for models with intercept).
	* model.matrix.pFormula and pmodel.response: ensured that 'data' gets reduced to the corresponding
	  model frame if not already a model frame (now mimics stats::model.matrix in this regard);
	  fixes corner cases with specific NA patterns when model.matrix.pFormula or pmodel.response are
	  called directly and 'data' not being a model frame (despite being required so)
	  [see tests/test_model.matrix_pmodel.response_NA.R].
	* detect_lin_dep: new function as a little helper function to detect linear dependent
	  columns, esp. in model matrices; incl. doc with two examples about how linear
	  dependent columns can be induced by the within transformation.
	* doc pFormula.Rd extended (especially examples) and split up in two files to better accommodate
	  different return values and input values in the documentation
	  (new file added: man/model.frame_model.matrix.Rd).


Changes since version 1.5-14

	* mylm: added commented (i.e. inactive) warning about dropped coefficients in estimation.
	* fitted.plm: added commented (i.e. inactive) warning in about dropped coefficients in
	  estimated model compared to specified model.matrix.
	* added testfile tests/test_fitted.plm.R (some of those test currently do not run
	  (commented, i.e. inactive)).
	* pmodel.response.pFormula: make sure supplied formula is a pFormula before we continue
	  (coerce to pFormula), fixes "bugs" (rather unexpected, but documented behaviour) like:
	    pmodel.response.pFormula(regular_formula, data = dat, model = "pooling")
	     # Error in names(y) <- namesy :
	     # 'names' attribute [482] must be the same length as the vector [0]
	* some testfiles: fixed wired encodings.
	* lag.pseries: modified to handle negative lags (=leading values).
	* lead.pseries: added function as a wrapper for lag.pseries(x, k=-1) for convenience,
	  i.e. lag(x, k = -1) == lead(x, k = 1).
	* diff.pseries: prevented negative lags as input to avoid confusion.
	* doc for pseries functions are made available under their name, e.g. ?lag now displays helpfile for
	  lag.pseries in the help overview (besides e.g. stats::lag).
	* pdim.default: make error message "duplicate couples (time-id)" printed as proper error message
	  (removed cat() around the message in stop(), was printed as regular string on screen before).
	* plm.data: slight improvement for printed outputs (spelling and spacing).
	* indexes: fixed return value (was always NULL).
	* doc updates: ?pdim: added section about possible different return values for pdim(pdata.frame) and
	  pdim(panelmodel_object); others: linkage to base functions enabled, spelling.


Changes since version 1.5-13

	* fixed bug in vcovHC(..., method="white") from degenerating diag() if any groups have
	  only 1 element.
	* reintroduced "white2" method.


Changes since version 1.5-12

	* dataset Produc: added variable 'region' as 3rd column and description: 'pcap' is public
	  capital (not private) while 'pc' is private capital (not public)
	* added importFrom as per CRAN check for submission.


Changes since version 1.5-11

	* added RiceFarms to datasets to eliminate non-CRAN dependencies, (temporarily) removed
	  'pder' from suggested, uncommented (fixed) example in pdwtest.Rd.


Changes since version 1.5-9

	* fixed bug in vcovG for lagged White terms (make pseudo-diagonal in E(u,v)); affected vcovNW.
	
	* documentation updates (mostly text books of Baltagi and Wooldridge to latest edition,
	  references are also more specific now).
	  
	* pbgtest: fixed/enabled type="F" (F test of lmtest::bgtest) in wrapper pbgtest() and
	  fixed/enabled passing of argument order.by= [additional argument in
	  lmtest::bgtest] [tests/testpbgtest.R added, docs updated and extended].
	
	* phtest( , method="aux") [Hausman regression-based test]: fixed bug when data= contains more
	  cases than there are used in model estimation (due to NA values); avoid calc. of RE model
	  a second time; phtest now also works with between model correctly (fixed degrees of freedom)
	  tests/test_phtest_Hausman_regression.R added.
	  
	* plm(): original row names of inputted data are preserved in plm_object$model,
	  so functions like pmodel.response(), model.frame(), model.matrix(), residuals()
	  return the original row.names (and thus fancy rownames if those were to be computed by
	  pdata.frame); as.data.frame.pdata.frame(): respects row.names argument.


Changes since version 1.5-8
  * introduced new phtest (Hausman test) allowing for robust vcov
	* fixed bugs in pdwtest.


Changes since version 1.5-6

	* pruned 'require' calls to 'lmtest', 'car', 'lattice' and substituted them with proper
	  entries in NAMESPACE.

	* temporarily commented problematic examples in pbgtest and pdwtest.


Changes since version 1.5-5

	* fixed bug affecting vcovG on unbalanced datasets (thx Liviu Andronic) from propagation
	  of NAs in final by-group matrix multiplication.


Changes since version 1.5-4

	* fixed testErrors.R with plm.data instead of pdata.frame.


Changes since version 1.5-3

	* reintroduced plm.data eliminated by mistake.


Changes since version 1.5-1

	* fixed "already a pdata.frame" bug in pcdtest.formula.

  * implemented fixef() method for objects estimated by pggls().


Changes since version 1.5-0 

	* added generic building block and high-level wrappers vcovNW and vcovDC to the namespace.

	* dataset Parity added to /data.


Changes since version 1.4-0

	* substituted vcovHC, vcovSCC with the new framework based on vcovG and wrapper functions.


Changes since version 1.3-1

	* a subset argument is added to print.summary.plm and summary.pht
	so that a subset of coefficient may be selected.

	* fixed a small problem on the printing of the typology of the
	variables for pht models.
	
	* the "name" of the tests is now the formula truncated so that it
	prints on only one line.
	
	* restrict.matrix argument added to deals with linear restrictions.

	* a vcov argument is added to summary.plm so that a variance matrix can be supplied.

	* the deviance method for panelmodel objects is now exported (12/02).

	* the hausman-taylor now support the Amemiya MaCurdy and the Breush-Mizon-Schmidt version.

	* a small bug is fixed on the var2lev function to deal the case when there are no factors.
	

Changes since version 1.3-0

	* an update method for panelmodel objects is provided.
	
	* the Wages example is removed from the pvar man page because it's time consuming.
	

Changes since version 1.2-10
	
	* for unbalanced hausman-taylor model, the printing of the error
	components was wrong, it is now fixed.
	
	* the printing of the removed variables (cst or NA) is improved.

	* the pgmm function has been improved to deal correctly with holes
	in the cross-sections ; a collapse argument is added to limit the
	number of gmm instruments.

	* the CoefTable element of summary.pgmm objects is renamed
	coefficients, so that it can easily be extracted using the coef
	method.

	* the default value for robust is now TRUE in the summary.pgmm
	method.

	* a new argument lost.ts is added in pgmm to select manually the
	number of lost time series.

	* almost null columns of instruments are removed (this happens
	when within/between transformation is performed on between/within
	series.

	* plm now accept three part formulas, the last part being for
	instruments introduced only in the within form.

	* the predict method for panelmodel objects is now exported.

	* plm now estimate systems of equations if a list of formulas is
	provided as the first argument.


Changes since version 1.2-9	

	* the pccep function, estimating CCEP models a la Pesaran, has
	been added together with summary and print.summary methods. The
	function generates objects of a class of their own ("pccep"), much
	like 'pggls', together with 'panelmodel'.

	* the pmg function, estimating MG, DMG and CCEMG models a la
	Pesaran, has been added together with summary and print.summary
	methods. The function generates objects of a class of their own
	("pmg"), much like 'pggls', together with 'panelmodel'. In the
	future must consider possible merger with 'pvcm'.

  * the new cipstest function performs a second-generation CIPS test
	for unit roots on pseries objects.

  * the new (hidden) function pmerge is used internally by cipstest
	to merge lags and differences of a pseries into the original
	pdata.frame. Will possibly be added to the user space in the
	future.


Changes since version 1.2-8	

	* an index method is added for panelmodel, pdata.frame and pseries.

	* a bug in the typology of the variables in pht is fixed.

	* a bug in vcovBK (matrices degenerating into vectors) is fixed
	(thx David Hugh-Jones for bug report).

	* the Between function now returns a pseries object.

	* the resid and fitted method now returns a pseries object.

	* the pgmm method has been rewritten; the data frame is then first
	balanced and NAs are then overwritten by 0s.


Changes since version 1.2-7
	
	* a typo is corrected in the man page of plm.data.

	* package AER is now suggested.


Changes since version 1.2-6

	* a bug in mtest for pgmm models with effect=individual and
	transformation=ld *and* for the wald test for time.dummies for
	model with effect = twoways and transformation=ld is fixed by
	modifying namest in gmm.
	
	* there was a bug in pgmm for models with different lags for gmm
	instruments. The number of time-series lost is now the min (and
	not the max) of the first lags for gmm instruments.

	* some parts of summary.pgmm only worked correctly for model with
	time-dummies. It now deals correctly for model with 'individual'
	effects.

	* the rda files are now compressed.

	* p-values for the two-tailed versions of plmtest() were wrong and
	have been fixed. They were divided by 2 instead of multiplied.


Changes since version 1.2-5

	* fixed error in pggls, model="within" (FEGLS). Added model="fd"
	(FDGLS).

	* changed dependency from kinship to bdsmatrix (as suggested by
	Terry Therneau after his reorganization of the packages).

	* fixed DESCRIPTION and NAMESPACE accordingly.

	* fixed the example in pggls.Rd.


Changes since version 1.2-4

	* bug corrected in pgmm : ud <- cbind(ud, td.gmm.level) is
	relevant only for twoways models.

	* in fitted.plm, the extraction of the index is updated.

	* the residuals.plm method now has a model argument.

	* a new function r.squared.

	* pmodel.response.plm is modified : no explicit effect and model
	arguments anymore (like in model.matrix.plm).


Changes since version 1.2-3
	
	* lag.pseries now returns relevant names for the returned factor.
	
	* pFormula is modified so that it can handle correctly Formula
	object, and not only formula.
	
	* pgmm has been completely rewrite with a new 'Formula'
	interface. Old formula and dynformula interfaces are kept for
	backward compatibility but won't be maintained in the future.

	* subset, na.action are added to the list of arguments of pgmm and
	oldpgmm.

	* lag.pseries is now able to deal with vector arguments for lags,
	e.g. lag(x, c(1,3)).
	
	* suml(x) is replaced by Reduce("+", x).


Changes since version 1.2-2

	* the documentation has been improved.
	
	* the pvalue for purtest(..., type = "madwu") was in error (by a
	factor of 2).

	* in formula(dynformula), a bug is fixed so that the endog
	variable doesn't appear on the rhs if there are no lags.

	* in pgmm, the extract.data has been rewritten and is *much* faster.

	* two new functions vcovBK and vcovSCC have been added.

	* a 'model' argument is added to pgmm.sys and pgmm.diff
	(previously, the model name was extracted from the call).

	* Kt is fixed to 0 in pgmm when effect="individual".


Changes since version 1.2-1

	* a new purtest function to perform unit root tests.

	* [[.pdata.frame is modified so that NULL (and not an error
	message) is returned if an unknown column is selected.


Changes since version 1.2-0	

	* the as.matrix and print methods for pserie objects are now
	exported.

	* in summary.plm, the p-value is now computed using a Student
	distribution and not a normal one.

	* the lag.pserie method is modified so that it deals correctly
	with factors, and not only with numeric vectors. The diff.pserie
	method returns an error if its argument is not numeric.

	* the instruments-"backward compatibility" stuff in plm is
	simplified thanks to the new features of Formula.

	* 'pserie' is renamed 'pseries'.

	* a THANKS file is added.
	
	* the `[.pdata.frame` function is modified so that [, j] returns a
	pseries and not a pdata.frame when j is a single integer, and a
	backward compatibility feature is added for the "index" attribute.


Change since version 1-1.4

	* a args argument is added for plm objects, and the internal
	function relies now on it (and not on the call as previously).

	* more attention is paid when one of the estimated components of
	the variance is negative (warning or error messages result).

	* pdata.frame objects are re-introduced. They are used to compute
	model.frames. Extraction from pdata.frames results in 'pserie'
	objects which have an index attribute.

	* the print method of ercomp is now exported.

	* the first argument of pgmm may now be a formula. A lag.form must
	be provided in this case.
	
	* hausman-taylor estimation is now performed by the pht
	function. For backward compatibility reasons, it is still
	possible to estimate this model with plm.


Changes since version 1-1.3

	* a relevant error message is added when a within model is
	estimated with no time-varying variable.

	* the formula method for dynformula objects is now exported.

	* a misleading notation was corrected for plm.ht model.

	* the definition of sigma2$id for unbalanced ht model is
	corrected, an harmonic mean of Ti being used.

	* the definition of tss.default is simplified.

	* the fitted.values element was missing for plm objects and has
	been added.
	
	
Changes since version 1-1.2

	* the inst directory was missing, it has been added again.
	

Changes since version 1-1.1

	* part of the "details" section of the fixef.plm man page is
	removed.

	* a fitted.value method is now available for plm objects. It
	returns the fitted values of the untransformed response.
	
	* in pdiff, a drop=FALSE is added. This omission was responsible
	of a bug while estimating a model like plm(inv~value-1, data =
	Grunfeld, model = "fd").

	* the lev2var is changed so that it doesn't result in an error
	when the data.frame contains no factor: this was responsible for a
	bug in plm.ht.
	

Changes since version 1-1.0

	* in fixef, the effect argument default is now NULL:
	fixef(model_with_time_effect) now works correctly.

	* in pFtest, the error message "the arguments should be a within
	and a pooling model" is removed so that two within models may be
	provided.

	* for backward compatibility reasons, the pvcovHC is reintroduced.

	* for backward compatibility reasons, argument test of pbsytest
	may be indicated in upper case.

	* we switched back to old names for two arguments of plm ercomp ->
	random.methods ivar -> inst.method -> ivar.

	* amemiya method is not implemented for unbalanced panels: an
	error message is now returned.
	

Changes since version 1-0.1
	
	* the plm function has been completely rewritten.

	* the names of some arguments have changed (random.methods ->
	ercomp, inst.method -> ivar), the old names are accepted with a
	warning.

	* the instruments argument is removed, instrumental variable
	estimation is performed using extended formula. The instruments
	argument is still accepted with a warning.

	* the model argument of plm objects are now ordinary data.frame,
	and not data.frame with elements y and X. Moreover, this
	data.frame contains untransformed data.

	* the data sets which are relevant for panel data estimation that
	where previously in the Ecdat package are now in the plm package.

	* in pvcm a bug when the estimation was made on a subset is fixed.

	* ercomp is a stand alone function which returns the estimation of
	the components of the variance of the errors.
	
	* the estimation of two-ways within model is now implemented for
	unbalanced panels.

	* the fixef method is much improved, the fixed effects may be
	computed in levels, in deviation from the first level or in
	deviation from the overall mean.

	* in pbsytest, the arguments test are now in lowercase.

	* the pvcovHC function is replaced by suitable vcovHC methods for
	panelmodel and pgmm models.
	

Changes since version 1-0.0

	* lag and diff methods for pseries are now exported and therefore
	behave correctly.

	* for two-ways within models with instrumental variables, K is
	replaced by K+1 for the computation of the overall mean matrix of
	the instruments. Time fixef are now computed. The error message
	"impossible ..." is removed.
	
	* a bug in the time random effect model is corrected.
	
	* a model.matrix method for panelmodel is provided.
	
	* models without intercept (-1 in the formula) should now be
	consistently estimated with plm, pggls and pvcm.
	
	* plm depends now on the Formula package which provides useful
	tools for formula with two parts.
	

Changes since version 0-3.2
	
	* a lot of typos of the man pages have been fixed.

	* functions pcdtest, pcdres have been added.

	* for hausman taylor model, the summary now prints the variables
	and not the effects.

	* the estimation of a model with only one explanatory variable
	using plm with method = "fd" is now working correctly.
	
	
Changes since version 0-3.1

	* in plm.formula, [int.row.names] is replaced by
	[as.character(int.row.names)].

	* the degree of freedom for a within time effect model was wrong
	and has been corrected.

	* the arguments type and weights in pvcovHC.panelmodel are renamed
	method and type respectively. The default method (type in previous
	versions) is arellano and not white1.

	* honda is now the default option for plmtest.
	

Changes since version 0-2.2

	* the coefficients method for objects of class pgmm is now
	exported.

	* a bug in the plm method of plmtest has been fixed

	* in plmtest, the argument effect "id" is renamed "individual".

	* three testing functions are added : pbsytest (Bera,
	Sosa-Escudero and Yoon test), pARtest (Breusch-Godfrey Test) and
	pDWtest (Durbin-Watson test), pwartest, pBGtest, pwtest pbltest.

	* plm, pvcm and pggls now have arguments "subset" and "na.action".

	* phtest, pFtest, plmtest now have a formula method.

	* a bug is fixed for the vcov of the within model.

	* the pdata.frame function and class is suppressed. The package
	now use ordinary data.frames.
	

Changes since version 0-2.1

	* pdata.frame is much faster thanks to a modification of the pvar
	function.

	* series with only NA values or with constants values are now
	removed by pdata.frame.

	* observations are ordered by id and time by pdata.frame.

	* a pfix function is added to edit a pdata.frame.

	* a as.data.frame function is provided to coerce a pdata.frame to
	a data.frame.

	* the dependency to the Matrix package has been removed and pgmm
	is much faster now.

	* phtest has been fixed to return only positive values of the
	statistic.

	* pgmm objects now inherits from panelmodel like other estimators
	and prints correctly.

	* a bug in summary.pgmm has been fixed.


Changes since version 0-1.2

	* Models with only one explanatory variable resulted in a
	bug. This has been fixed.

	* Estimation methods are now available with four functions : plm,
	pvcm, pggls and pgmm instead of one (plm) in the previous version.

	* pvcm is a new function which estimate variable coefficients
	models. The "nopool" model is now part of it.

	* pggls is a new function which enables the estimation of general
	FGLS.

	* pgmm is a new function for general method of moments estimator.

	* for all estimation functions, the first four arguments are now
	formula, data, effect, model.

	* robust inference is now provided by the pvcovHC function.
