2024-01-30 Valentin Todorov * * DESCRIPTION (Version): 1.7-5 * * data/Cars.rda - data set added * man/rrcov-utils.Rd: (mail from Kurt Hornik from 22.01.2024) * man/fish.Rd: URL corrected * 2023-18-06 Valentin Todorov * * DESCRIPTION (Version): 1.7-4 * * DESCRIPTION: ISBN changed to * (mail from Kurt Hornik from 06.06.2023) * tests/thubert.Rout.save, tlda.Rout.save, tmcd4.Rout.save, tqda.Rout.save: * Follow up to changes in robustbase 0.99-0 * 2023-03-23 Valentin Todorov * * DESCRIPTION (Version): 1.7-3 * * data/ionosphere.rda - data set added * R/CovRobust, plot_utils: 'xyqqchi2' and 'xydistance' plots, fixed to use of parameter id.n * 2022-10-22 Valentin Todorov * * DESCRIPTION (Version): 1.7-2 * * src/rrcov_init.c: Fixed - warning: invalid UTF-8 in comment [-Winvalid-utf8] * see mail of K.Hornik from 17.10.2022 * 2022-07-18 Valentin Todorov * * DESCRIPTION (Version): 1.7-1 * * R/CovMrcd.R: Fixed - maxcond passed to the low level functions * R/detmrcd.R, plot_utils.R: Fixed errors "Found if() conditions comparing class() to string" * man/PcaHubert.Rd: Fixed NOTE "Found the following math rendering problems", see * mail from Kurt Hornik from 11 August 2022 * 2022-04-25 Valentin Todorov * * DESCRIPTION (Version): 1.7-0 * * src/covOPW.c - Fix for USE_FC_LEN_T becoming the default in 4.2.0 * src/ds11.f, fsada.f - fixed several Fortran warnings * 2022-02-08 Valentin Todorov * * DESCRIPTION (Version): 1.6-2 * * tests/thubert.R - minor differences in tests for PcaProj() on some platforms fixed * Examples for PCA/adjustment for skewed data and PCA/percentage of explained * variance added * R/Pca.R: scorePlot() improved to show the labels of the samples * 2022-01-28 Valentin Todorov * * DESCRIPTION (Version): 1.6-1 * * data/fruit.rda - data set added * * man/*.Rd - URLs replaced by DOI to fix for the migration of the www.jstatsoft.org * to a new editorial system (see mail from Achim Zeileis from 06.10.2021) * * R/Pca*.R - fixed a problem when showing the percentage of explained variance in * summary() of all PCA functions when k is chosen to be less than the number of variables in the * input data matrix (k < p). The returned object contains now additionally * the rank of the input matrix, the original eigenvalues (of all variables) * and the original total variance, if available. 2021-09-15 Valentin Todorov * * DESCRIPTION (Version): 1.6-0 * * R/PcaHubert.R - option for adjusted outlyingness for skewed data added * data/machines.rda - data set Computer Hardware added * data/wolves.rda - data set 'wolves' added * Fixed some URLs, particularly the reference to javasoft.org 2020-08-03 Valentin Todorov * * DESCRIPTION (Version): 1.5-5 * * R/PcaHubert.R - PcaHubert will crash if X is 1-dimensional and mcd=FALSE: fixed * R/PcaProj.R - fixed a problem with wrong scores (reported by Matthieu Lesnoff ) * R/CovMve.R, CovSest.R - fixed a problem with nsamp="exact" or nsamp="best" * (reported by Claudio Agostinelli) - these functions, differently from CovMcd, * should not take non-numeric 'nsamp' * tests/tlda.R, togk4.R: fixed 'noLD' issues in tlda.R and okg4.R * 2020-01-14 Valentin Todorov * * DESCRIPTION (Version): 1.5-2 * * R/getEllipse.R - Removed the dependence on packages 'cluster' and 'ellipse' * R/Linda - added parameter 'control' to select the robust location and * covariance estimator to use in LDA. Now any estimator derived from class 'Cov' * can be used, even such that are not in 'rrcov'. Return this parameter in the * returned S4 object. * * R/Linda - return the location and covariance estimator used as 'covobj'. This * is useful for controlling cross-validation, for example. * * R/Lda.R - fixed an issue in predict function * * R/LdaClassic, R/Linda - use generalized inverse if the common covariance * matrix is singular. * 2019-11-25 Valentin Todorov * * DESCRIPTION (Version): 1.4-9 * DESCRIPTION (Version): 1.4-8 * * - Added data set \code{diabetes}; data set \code{soil} from package \code{rrcovHD} moved here. * - Linear and quadratic discriminant analysis can use the MRCD estimates. * - Fixed an issue with CovControlMcd(nsamp="deterministic") - this would not work, * because nsamp was defined in the class definition as "numeric". Now it is * "Cnumeric" - union of "character" and "numeric'. * - Corrected the code for Minimum Regularized Covariance Determinant estimator (MRCD) - * \code{CovMrcd()} - the step of adjusting the eignevalues in r6pack() is excluded * now because it has no effect when n > p. * 2018-11-14 Valentin Todorov * * DESCRIPTION (Version): 1.4-7 * DESCRIPTION (Version): 1.4-6 * * R/CovMrcd.R, CovControlMrcd.R: added Minimum Regularized Covariance * Determinant estimator (MRCD) (Boudt et al. 2018) * * data/octane.rda, man/octane.Rd - octane data set added * data/olitos.rda, man/olitos.Rd - olitos data set moved from package rrcovHD * * R/CovClassic.R, plot-utils.R: make the 'pairs' plot also * available for classical covariance matrix * 2018-05-20 Valentin Todorov * * DESCRIPTION (Version): 1.4-4 * * vignettes/mybiblio.bib: Fixed issue with building * the vignette: non-ascii symbols in .bib * (see mail from K. Hornik from 14.05.2018) * src/rrcov_init.c: Registration of native routines * 2016-09-03 Valentin Todorov * * DESCRIPTION (Version): 1.4-3 * DESCRIPTION (Version): 1.4-2 * * src/sest.c: Warning reported by Duncan Murdoch: if(fabs(t <= cc)) * 2016-08-19 Valentin Todorov * * DESCRIPTION (Version): 1.4-1 * * R/Pca.R, PcaCov.R, PcaHubert.R, PcaLocantore.R, PcaClasic.R: * fixed a bug when scale != FALSE. * Now scale can be also a function or a vector with length p. * 2016-08-05 Valentin Todorov * * DESCRIPTION (Version): 1.4-0 * * R/PcaCov.R, Pca.R: fixed a bug when scale != FALSE; the call to princomp() * replaced by an internal function (simplified princomp()) * * R/Pca.R: fixed a bug when scale != FALSE - computing OD .distances() * * R/Linda.R: added argument l1med=FALSE - if set to TRUE, the L1 median * will be used for centering the data in mcdB and mcdC methods * 2016-02-10 Valentin Todorov * * DESCRIPTION (Version): 1.3-10 * * R/CovSest.r: additional trace for Rocke S-estimates * R/Pca.R, Allclasses.R, etc.: Add the quantile cut-off for computing the OD and SD distances in PCA as a parameter * R/PcaCov.R, etc.: Automatic selection of components with k=0 * * 2015-11-28 Valentin Todorov * * DESCRIPTION (Version): 1.3-9 * * 2015-07-07 * R/Pca.R, man/biplot.rd: The missing parameter choices= added to biplot() * * R/PcaXxx.R, man/PcaXxx.rd: added a parameter crit.pca.distances to be used * for computing the score and orthogonal distances. This parameter is stored * in the Pca-class object * * R/PcaXxx.R, man/PcaXxx.rd (except Grid and Proj): selection of number of * components fixed, see Help. * 2014-11-23 Valentin Todorov * * DESCRIPTION (Version): 1.3-7 * * src/sest.c: fixed an issue (reported by Stefan van Aelst) * in computing S-estimates, related to improper * calculation of the rank of a matrix with q() * 2014-11-05 Valentin Todorov * * DESCRIPTION (Version): 1.3-6 * * R/CovSest.R, dets.R, AllClasses.R, CovControl.R: added Deterministic S as * an option to CovSest (method="sdet"), function ..detSloc(), * new parameters and new slots in class CovSest. * * R/Pca.R, PcaClassic.R, pcaHubert.R: the internal functions classSVD() * and kernelEVD() are replaced by function classPC() which is moved * to robustbase * * R/CovMcd.R, AllClasses.R, CovControl.R - deterministic MCD, with nsamp="deterministic", * new parameters and new slots in class CovMcd * * tests/tsest.R: added tests method="sdet" * * R/CovSde, man/CovSde.Rd: a bug, when number of variables * too large, fixed. The number of variables is used to calculate * the necessary number of samples. If this number is large than * .Machine$integer.max an error message, saying NAs passed to * an external function was issued. Now the nsamp <= .Machine$integer.max * and in the documentation is explained that CovSde() can be used only * with relatively small data sets. * * R/CovMest3.R, man/CovMest3.Rd - function deprecated, * replaced by the one return ing an S4 class, CovMest(). * tests/tmest.R removed. * * TODO: fix a bug in C version of sfast * TODO fix a crash in CovOgk with a singular matrix * * 2013-09-01 Valentin Todorov * 1.3-5 * * R/Pca.R - definition of a print() method removed * Use suppressPackageStartupMessages(library(rrcov)) in the tests * * R/CovOgk.R - bug fixed (Chris Green): a data set with 0 (complete) rows * (n=0) would crash R with access violation * * R/CovClassic.R - the restriction "Need at least p=(number of variables) * observations" removed * * man/PcaHubert.Rd - % signs in the examples were not escaped and part of the * statements was missing * 2013-08-19 Valentin Todorov * 1.3-4 * * Changes, mainly to fix warnings in packages rrcovNA and rrcovHD * * Generic and method scoreplot changed to scorePlot to avoid * conflict with package pls * * Vignette moved to directory .\vignettes, as recommended in * the 'Writing R Extensions' manual * * NOTE "Namespace imported from by a ':::' call: ..." fixed for all * but two robustbase calls. * * Packages 'mvtnorm' and 'pcaPP' moved from Depends to Import and the particular * functions used are only imported (rmvnorm from 'mvtnorm' and PCAgrid * and PCAproj from 'pcaPP') * 2013-04-28 Valentin Todorov * 1.3-3 * * SRC/ds11.f: Fortran array bound check error fixed * * R/zzz.R: on.Load() replaced by on.Attach() to suppress a NOTE * * R/Pca.R: Fixed a problem in pca.scoreplot() - the ellipse was not * properly shown in case for example of PP PCA, when the scores can be correlated. 2012-06-10 Valentin Todorov * 1.3-02 * * R/Linda.R: Fixed a problem with array over-run in .Fortran("fsada") in integer argument 14 * * Method getRaw() for CovMcd, CovMve and CovOgk added * Union S4 classes Uvector, Umatrix, Ulist, Ufunction, Utable exported * in the name space * T2.test() fixed - the F statistic was shown but titled as "T^2". Now both * T2 and F are shown * 2011-06-26 Valentin Todorov * 1.3-01 * * Fix for LdaPP() * 2011-05-05 Valentin Todorov * 1.3-00 * * Added LdaPP() and the related classes - see Pires and Branco (2010) * 2011-04-30 Valentin Todorov * 1.2-02 * * R/plot-methods.R: fixed the pairs-plot for Cov objects - on the diagonal * were shown not the variable names but Var1, var2, etc. * * R/Pca.R, AllGenerics.R, Man/scoreplot.rda, pca.scoreplot.rda: * the internal function pca.scoreplot()is defined now in the namespace, * help is added and corresponding method/generic scoreplot() function * is defined too. * * Data/pottery.rda, Man/pottery.rd: added the pottery data set - * see Pires and Branco (2010) * * 2011-04-04 Valentin Todorov * 1.2-00 * R/CovSest.R, CovMMest.R, man/* - added slots for the tuning constants of * the S- and MM-loss functions. The functions for calculating these * constants (.csolve.bw.S() and .csolve.bw.MM() are not exported but the * user could access them using rrcov:::.csolve.bw.S() call * data/wages.rda - Added data set Wages and Hours * R/Pca.R - fixed the cutoff for the orthogonal distances (diagnostic plot)- * univariate MCD replaced by median and MAD 2010-08-30 Valentin Todorov * 1.1-00 * src/ds11.f - fixed a problem with CovSde for p=1 (i.e. option p=1 implemented) * R/CovSest.R, man/CovSest.Rd - default number of samples 'nsamp' for method='sfast' * changed to nsamp=20 * Added MM-estimates of location and scatter * Added methods getDet(), getShape() and getDflag() for objects of class 'Cov' * C implementation of the FAST-S estimates * signflip and scale parameters added to PcaHubert() and PcaCov() 2010-06-20 Valentin Todorov * 1.0-01 * data/rice.Rda, man/rice.Rd: Rice data set added * * R/PcaHubert.R - fixed a minor problem - see VT::14.12.2009 * * src/fsada.f: fixed a problem in Linda with method 'fsa' - * number of cases was limited to 500 and number of * variables to 100 without error message * R/Linda.R, man/Linda.Rd, src/fsada.f - added 'trace' parameter * * R/Allclasses.R, AllGenerics.R, PcaClassic.R, PcaLocantore.R, * RcaHubert.R, Pca.R, man/PcaClassic.Rd, PcaLocantore.Rd, * PcaClassic-class.Rd, PcaLocantore-class.Rd, Pca-class.Rd: * - added sign flipping for the loadings, controlled by a * signflip=TRUE parameter * - added a scale slot in Pca class and scale=FALSE parameter in * PcaClassic() and PcaLocantore() * * R/plot-utils.R, CovRobust.R, CovClassic: * - additional graphics parameters for the plot methods are available now, e.g. * different colors or different symbols for the different groups * - it is possible to provide custom labels for the id.n observations * - pairs-plot for more than 2 variables * 2009-10-10 Valentin Todorov * 1.0-00 * CITATION to the JSS paper added * Rd files updated to refer to the JSS paper * vignette added * ********************************************************** 2009-09-29 Valentin Todorov * 0.5-03 * citation file added * PcaCov can compute the classical estimates (cov.control=NULL) * 2009-07-21 Valentin Todorov * 0.5-02 * Defaults of CovRobust() changed * Corrections in some help pages * Biplot implemented as a method of class PCA (generic function biplot) * 2009-02-20 Valentin Todorov * 0.5-01 * * Added Quadratic Discriminant Abalyis: Qda, SummaryQda, * PredictQda, QdaClassic, QdaRobust and QdaCov * 2009-02-14 Valentin Todorov * 0.5-00 * * Added Stahel-Donoho estimator of multivariate location and scatter * CovSde 2009-01-14 Valentin Todorov * 0.4-08 * * data/salmon - data set added * Added Robust Linear Discriminant Analysis: * R/AllClasses, R/Lda.R, R/LdaClassic.R, R/Linda.R * and the corresponding manual pages: man/Lda*.Rd * * Added PP-approach PCA methods PcaProj and PcaGrid (see package pcaPP): * R/AllClasses, R/PcaProj.R, R/PcaGrid.R * and the corresponding manual pages: man/PcaProj*.Rd, man/PcaGrid*.Rd * 2008-07-04 Valentin Todorov * 0.4-07 * * data/un86 - data set added * * R/CovRobust.R - function to select a robust estimator added * * R/CovSest.R, man/CovSest.Rd, R/CovControlSest.R, man/CovControlSest.Rd - * added two more estimation methods for the S estimates: bisqauare and * Rocke type, as described in Maronna et al. (2006) - thanks to Matias * Salibian-Barrera for the provided code. * * R/CovMve.R, man/CovMve.Rd - now the raw cov matrix is properly scaled by * a factor median(dist)/qchisq(0.5, p) and the reweighted cov matrix is * multiplied by a consistency corretcion factor, similarly as in CovMcd(). * No finite sample correction factors are used. For details see ?CovMve. * * man/CovMve.Rd - the search for the approximate solution is explained * (fast MVE) and the corresponding referecne (Maronna et al., 2006) is given. * * R/CovMest.R, man/CovMest.Rd - the default initial value now is the raw * (not reweighted) MVE estimate with the covariance matrix standardised * to det(cov)=1 * * R/CovOgk.R, man/CovOgk.RD, src/covOPW.c, R/CovControlOgk.R, man/CovControlOgk.R * Added a C implementation for OGK - thanks to Kjell Konis. * See ?CovOgk for details * * R/plot-utils.R - fixed a bug in plot(CovMcd(x), which="tolEllipsePlot", id.n=0) - * even if id.n was set to 0, at least one observation was plotted with a label * 2008-06-02 Valentin Todorov * 0.4-06 * Added the 'bushmiss' - a group of data sets based on 'bushfire' * with added incompliteness (MCAR) with probability 0.1, * 0.2, 0.3 and 0.4 * Fixed minor errors in the documentation * Added PCA based on robust cov matrix - PcaCov * Added Spherical PCA algorithm - PcaLocantore * Added 'bus' data set - Automatic vehicle recognition data * as an illustration for the PCA methods. The examples reproduce * the corresponding examples from Maronna et al. (2006), page 213 2007-02-12 Valentin Todorov * 0.4-05 * Added the OsloTransect data set * Fixed minor errors in the documentation * Fixed two serious problems in .fastMve() - there was a * hard-coded seed setting and the half-sample was hardcoded too * Added S-estimates computed by either the FAST-S algorithm or * Ruppert's SURREAL 2007-11-10 Valentin Todorov * 0.4-03 * R/plot-utils.R - "Squared Robust distance" changed to "Robust distance", * added ylim parameter so that two parallel distance plots * (robust and classic) will have the same scale * man/getCenter-methods.Rd - there was an 'unmatched right brace' in line 34 - * shown as 'Note' in "R CMD install" but not in "R CMD check" * R/CovRobust.R - method 'plot' - make robust and classic distance * plot same scale * Added function Cov() as an alias to CovClassic() for compatibility with * previous versions * Function and class Robpca changed to PcaHubert - Robpca was too general * Added methods predict, screeplot and biplot for Pca 2007-10-24 Valentin Todorov * 0.4-02 * Fixed the OO-hierarchy for robust location and scatter: now * Cov is a VIRTUAL class and CovClassic added for representing * the classic estimates * CovMve added, to be used as initial solution for CovMest 2007-09-28 Valentin Todorov * 0.4-01 * Removed covMcd, ltsReg and all datasets which were already moved to * package robustbase. Now package robustbase is required and these * functions are used from there. This could cause some minor * incompatibilities because of changed parameters in covMcd(), like: * - trace=FALSE instead of print.it=FALSE * - seed=NULL instead of seed=0 * - changed structure and names of datasets 2007-09-24 Valentin Todorov * 0.3-08 * Added ROBPCA - Robust Principal Component Analysis - with an * S4 object model R/Pca.R, R/PcaClassic, R/Robpca and * man/Pca-class.RD, man/PcaRobust-class.Rd, man/PcaClassic-class.RD * man/Robpca-class.RD, man/PcaClassic.RD, man/Robpca.RD 2007-09-20 Valentin Todorov * 0.3-07 * Added classical and robust Wilks Lambda test - R/Wilks.test.R and * man/Wilks.test.RD 2007-07-05 Valentin Todorov * 0.3-06 * Added one- and two-sample T2 Hotelling test and one-sample * robust T2 Hotelling test (Willems et al. 2002) - R/T2.test.R and * man/T2.test.RD * R/covMcd.R: usage of simulated finite sample correction factors fixed: * - case p=1 fixed * - simulated corrections used only when the Pison et.al. * formula is definitely wrong (negative or very large) * Added the L-moments data sets from Hosking and Wallis (1997): * Appalachia, Cascades, lmom32 and lmom33 * Fixed print.mcd() to avoid conflict with package 'robust' * (same class "mcd") * R/covMcd.R - the calculation of the consistency correction factor * for the raw and reweighted MCD covariance replaced by a call to * a function MCDcons() * R/CovRobust.R, Cov.R, AllGenerics.R, utils.R - fixed the plot * method of CovRobust in case of singular covariance matrix 2006-12-21 Valentin Todorov * 0.3-05 * fixed a bug in ltsReg (in the QQ-plot were plotted the residuals instead * of the standardized reisuals) * added dataset 'Fish Catch Data' * added dataset 'Hemophilia' 2006-09-07 Valentin Todorov * 0.3-04 * name the partial= argument of the sort function in covMcd3.R - * necessary for the coming R 2.4.0 2006-07-08 Valentin Todorov * 0.3-03 * Remove CRLF line endings of the files *.Rout.save in rrcov/tests directory 2006-06-01 Valentin Todorov * 0.3-02 * add CovControlMcd function and CovControlMcd-class * add CovMcd function and CovMcd-class * add CovControlOgk function and CovControlOgk-class * add CovOgk function and CovOgk-class 2006-05-21 Valentin Todorov * 0.3-01 * NAMESPACE: add importFrom(stats4, plot, summary) * add Marona and Yohai data set * add Cov function and Cov-class * add CovControl-class * add CovControlMest function and CovControlMest-class * add CovRobust-class * add CovMest function and CovMest-class 2006-03-13 Valentin Todorov * 0.2-13 * defined package namespace * added constrained M-estimates (Rocke (1994,1996)) 2006-02-10 Valentin Todorov * 0.2-12 * FIXED - .fastmcd and fastlts does not return everything * fixed problems in ltsReg in case of location model Y~1 (or x is missing in ltsReg.default()) 2006-02-06 Valentin Todorov * 0.2-11 * added more data sets from Rousseeuw & Leroy: telef, lactic, pension, pilot, cloud, education, airmay * fixed codoc discrepancies in the data sets stars and wood * ltsReg & covMcd - added options 'best' and 'exact' for nsamp * ltsReg & covMcd - added parameter for controlling the small sample correction factors - use.correction * rrcov.control - added parameter for controlling the small sample correction factors - use.correction * ltsReg & covMcd - output of the consistency and the small sample correction factors 2005-10-24 Valentin Todorov * 0.2-10 * minor corrections in the help of covPlot * fixed bug in covPlot in case of class=TRUE * tolellipse - both robust and classical ellipse are superimposed * added directory inst/bm containing benchmarks comparing covMcd and ltsReg to the corresponding functions in MASS, S-PLUS and Matlab 2005-10-17 Valentin Todorov * 0.2-9 * minor corrections in the help of covMcd * minor correction in ltsReg (false corrected to FALSE) * covMcd - fixed the limitation on the number of variables <= 50 * ltsReg - fixed the limitation on the number of variables <= 50 * added function summary.mcd which prints (additionally to the output of print.mcd) the correlation matrix (if requested), the eigenvalues of the covariance or correlation matrix and the robust distances. * added control object for the estimation options rrcov.control and used in covMcd and ltsReg 2005-09-20 Valentin Todorov * 0.2-8 * ltsReg: added formula interface * ltsReg: adde generic functions summary.lts and print.summary.lts * ltsReg: fixed a problem with reordering of the coeficients even in case without intercept 2005-04-16 Valentin Todorov * 0.2-7 * ltsReg: fixed a bug related to nsamp -> it was hard-coded = 500 in Fortran * ltsPlot: default for id.n changed - instead of 3, now it is the number of identified outliers * ltsPlot: help enhanced * covMcd, covPlot, tolellipse: tol.inv parameter changed to tol, according the change in mahalanobis() in 2.1.0 2004-12-26 Valentin Todorov * 0.2-6 * a bug in ltsReg (rsquared) fixed * fixed CRLF line endings in FORTRAN sources * fixed a problem in covMcd: in case of p=1 and cov=[0], the cov matrix was a double instead of a matrix, which resulted in errors in subsequent calls (e.g. determinant(mcd$cov) expects a matrix) * fixed a problem in ltsReg when p==1 and Intercept==FALSE - the vectors of coefficients ans$coefficients and ans$raw.coefficients were of size 2 * error handling added in ltsReg in case of scale=0 2004-09-16 Valentin Todorov * 0.2-5 * several errors in doc fixed (ltsPlot.Rd, covPlot.Rd, aircraft.Rd) 2004-09-16 Valentin Todorov * 0.2-4 * added Regression Diagnostic Plots - function ltsPlot() * ...added Normal QQ Plot of the residuals * ...added Standardized Residuals versus index plot * ...added Standardized Residuals versus fitted values plot * ...added Regression diagnostic plot * ltsReg: the responce variable Y added to the result object * covMcd: fixed a bug related to nsamp -> it was hard-coded = 500 in Fortran * covMcd: fixed a bug - in case of alpha=1 * added S3 methods plot.mcd and plot.lts * the S3 methods print.mcd and print.lts moved to separate R files * added the stars data set (Hertzsprung-Russell diagram) 2004-07-13 Valentin Todorov * 0.2-3 * improved documentation of the datasets * added datasets aircraft and delivery * added Covariance Plots - function covPlot() * ...added Distance Plot - function distplot() * ...added Distance-Distance Plot - function ddplot() * ...added Chisquare QQ-Plot - function chi2qqplot() * ...added Tolerance Ellipse Plot - function tolellipse() * added function print.lts (for ltsReg result); included in the test tlts.R * added function print.mcd (for covMcd result); included in the test tmcd.R 2004-06-26 Valentin Todorov * 0.2-2 * fixed bug in Fortran: rfltsreg.f, xrfnbreak() * Depends >= 1.8 (it was >= 1.9, because of the bug above) * Parameter, controlling whether to perform intercept adjustment at each step added to ltsReg and its default value set to FALSE