## ffmanova 1.1.2

- Minor fixes to avoid cran check note
- Only about documentation of internal functions.

## ffmanova 1.1.1

- Minor fix in
`ffAnova`

example
- Fix in replacement function when package
`car`

is not
available.

## ffmanova 1.1.0

- New function
`predict.ffmanova`

. Thus, the generic
function, predict, can take output from ffmanova as input.
- Description:
*The same predictions as lm can be obtained. With
some variables missing in input, adjusted means or mean predictions are
computed (Langsrud et al., 2007). Linear combinations of such
predictions, with standard errors, can also be obtained.*

- New function
`ffAnova`

.
- Description:
*Analysis of variance table for a linear model using
type II* sums of squares, which are described in Langsrud et al. (2007).
Type II* extends the type II philosophy to continuous variables. The
results are invariant to scale changes and pitfalls are
avoided.*

- Models without a constant term is supported.
- The function ffmanova has been extended with new input parameters
and additional elements in output is possible. These changes are related
to the above new functionality. By calling ffmanova with
returnModel=FALSE, output should be the same as in version 1.0.0.

## ffmanova 1.0.0

- In January 2019, ffmanova got version number 1.0.0. Since the first
realise on CRAN in 2006, ffmanova has been a stable working horse.
Cosmetic changes and changes to meet new package standards have been
made. The source code for the main computations is close to a direct
translation of an implementation in matlab.
- Description of
`ffmanova`

: *General linear modeling of
fixed-effects models with multiple responses is performed. The function
calculates 50-50 MANOVA p-values, ordinary univariate p-values and
adjusted p-values using rotation testing.*