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+v.0.8.0
+=======
+* tutorial has been moved from GitBook to Bookdown and fully rewritten
+* GitHub repo for the package has the tutorial as a static html site in `docs` folder
+* the `mdaplot()` and `mdaplotg()` were rewritten completely and now are more easy to use (check tutorial)
+* new color scheme 'jet' with jet colors
+* new plot type (`'d'`) for density scatter plot
+* support for `xlas` and `ylas` in plots to rotate axis ticks
+* support for several data attributes to give extra functionality for plots (including manual x-values for line plots)
+* rows and columns can be now hidden/excluded via attributes
+* factor columns of data frames are now converted to dummy variables automatically when model is created/applied
+* scores and loadings plots show % of explained variance in axis labels
+* biplot is now available for PCA models (`plotBiplot()`)
+* scores plot for PCA model can be now also shown with color grouping (`cgroup`) if no there is no test set
+* cross-validation in PCA and PLS has been improved to make it faster
+* added a posibility to exclude selected rows and columns from calculations 
+* added support for images (check tutorial)
+
+v.0.7.2
+=======
+* corrected a typo in title of selectivity ratio plot 
+* `prep.autoscale()` now do not scale columns with coefficient of variation below given threshold
+
+v.0.7.1
+=======
+* fixed an issue lead to plot.new() error in some cases
+* documentation was regenerated with new version of Roxygen
+* file People.RData was renamed to people.RData
+* NIPALS method for PCA has been added
+* code optimization to speed calculations up
+
+v.0.7.0
+=======
+* interval PLS variable selection (iPLS) is implemented
+* normalization was added to preprocessing methods (`prep.norm`)
+* method `getRegcoeffs` was added to PLS model
+* automatic selection of optimal components in PLS (Wold's criterion and first local min)
+* parameter `cgroup` for plots now can work with factors correctly (including ones with text levels)
+* all documentation was converted to roxygen2 format
+* NAMESPACE file is generated by roxygen2
+* fixed several small bugs and typos
+
+v.0.6.2
+========
+* Q2 residuals renamed to Q (Squared residual distance)
+* All plots have parameters `lab.col` and `lab.cex` for changing color and font size for data point labels
+
+v.0.6.1
+========
+* fixed a bug led to incorrect calculation of specificity
+* jack-knife confidence intervals now also calculated for PLS-DA models
+* confidence intervals for regression coefficients are shown by default if calculated
+
+v.0.6.0
+========
+* randomization test for PLS has been added, see `?randtest`
+* systematic and repeated random cross-validation are available, see `?crossval` 
+* fixed bug with labels on bar plot with confidence intervals
+* fixed bug in PLS when using maximum number of components lead to NA values in weights
+
+v. 0.5.3
+========
+* fixed several small bugs
+* improvemed documentation for basic methods
+
+v. 0.5.2
+========
+* fixed bug for computing classification performance for numeric class names
+* improvements to SIMCA implementation
+
+v. 0.5.1
+========
+* added more details to documentation
+* bug fixes for variable selection methods
+
+v. 0.5.0
+========
+* all documentation has been rewritten using `roxygen2` package
+* added extra preprocessing methods
+* added VIP scores calculation and plot for PLS and PLS-DA models
+* addec Selectivity ratio calculation and plot for PLS and PLS-DA models
+* added calculation of confidence intervals for PLS regression coefficient using jack-knife
+* bug fixes and small improvements
+* the first release available in CRAN
+
+v. 0.4.0
+========
+* New `classres` class for representation and visualisation of classification results
+* in PCA model, limits for T2 and Q2 now are calculated for all available components
+* in PCA results, limits for T2 and Q2 calculated for a model are kept and shown on residuals plot 
+* added parameters `xticklabels` and `yticklabels` to `mdaplot` and `mdaplotg` functions
+* New `simca` and `simcares` classes for one-class SIMCA model and results
+* New `simcam` and `simcamres` classes for multiclass SIMCA model and results
+* New `plsda`and `plsdares`classes for PLS-DA model and results
+* bug fixes and improvements
+
+v. 0.3.2
+========
+* Enhancements in group bar plot
+* Fixed bugs with wrong labels of bar plot with negative values
+
+v. 0.3.1
+========
+* Corrected errors and typos in README.md and small bg fixes
+
+v. 0.3.0
+========
+* PLS and all related methods were rewritten from the scratch to make them faster, more efficient
+and also to follow the same code conventions as previously rewritten PCA. Here are main changes
+you need to do in your code if you used mdatools PLS before: `selectNumComp(model, ncomp)` instead
+of `pls.selectncomp(model, ncomp)`, `test.x` ad `test.y` instead of `Xt` and `yt`, finally separate logical
+arguments `center` and `scale` are used instead of previously used `autoscale`. By default `scale = F` and `center = T`.
+* PLS and all related methods are now well documented (see `?pls`)
+* plotting tools for all classes and methods were rewritten completely. Now all plotting methods 
+use either `mdaplot` or `mdaplotg` functions, which extend basic functionality of R plots. For example, 
+they allow to make color groups and colorbar legend, calculate limits automatically depending on 
+elements on a plot, make automatic legend and many other things.
+