Changes in version 1.2.4                        

  - Adding a new inflVar variable to disambiguate in the influence
    plotting
  - More argument checking + tests for the plot.RCM function

                        Changes in version 1.2.3                        

  - Rename a and b to rowExp and colExp to avoid partial matching
  - Allow rowExp and colExp to be adapted for constrained correspondence
    analysis starting values as well

                        Changes in version 1.2.2                        

  - Moving the online manual information to the vignette

                        Changes in version 1.2.1                        

  - Vertical reference line in residual plot
  - Bug fix for problematic variable names

                        Changes in version 1.2.0                        

  - Missing values in count matrix are now allowed. They simply do not
    contribute to the parameter estimation, but the rest of the row (or
    column) is still used.

                        Changes in version 1.0.1                        

  - Bug fix in buildCovMat() to avoid false warning
  - Check for alias structure in confounder and covariate matrices

                        Changes in version 1.0.0                        

  - Release on BioConductor

                        Changes in version 0.3.0                        

  - Importance parameters ψ are enabled again when non-parametric
    response functions are used, but not used for plotting.
  - 2D sample plots for constrained ordination with non-parametric
    response functions have been disabled, as they are not
    interpretable. Variable plots are the only 2D plots still allowed
  - Explained deviance and inertia can be plotted on the axes rahter
    than the ψ's using the "plotPsi" argument to the plot.RCM()
    function.
  - Possibility to provide lower dimensional fits has been disabled. RCM
    is fast enough to fit the whole model.

                        Changes in version 0.2.0                        

  - Importance parameters ψ are no longer calculated when non-parametric
    response functions are used.