NEWS file for package multiblock
Functions and datasets to support Smilde, Næs and Liland (2022, ISBN: 978-1-119-60096-1) 
"Multiblock Data Fusion in Statistics and Machine Learning - Applications in the Natural and Life Sciences". 
This implements and imports a large collection of methods for multiblock data analysis with common interfaces, result- and plotting 
functions, several real data sets and six vignettes covering a range different applications.
Kristian Hovde Liland

##### Version 0.8.11
Date: 5 July 2026
>> New path_effects() function for estimation of local effects in path analyses.

##### Version 0.8.10
Date: 1 April 2025
>> Minor bug fix in SO-PLS cross-validation.

##### Version 0.8.9
Date: 20 January 2025
>> Changed from internal ASCA methods to import from HDANOVA package.

##### Version 0.8.8.2
Date: 15 September 2024
>> Corrected errors in two-level ASCA modelling affecting plotting
>> Added R2 and MSEP for MB-PLS.

##### Version 0.8.8.1
Date: 11 March 2024
>> Corrected errors in SO-PLS's cross-validation (segment use) and faulty summary when
only one X-block is supplied.

##### Version 0.8.8
Date: 26 January 2024
>> Corrected error in POPLS leading to faulty explained variances and block scores.

##### Version 0.8.7
Date: 17 November 2023
>> Added block.preprocess to perform block-wise preprocessing of data.
>> Added _PACKAGE to conform to changed roxygen2.

##### Version 0.8.6
Date: 04 June 2023
>> Moved several packages to Suggests and added conditional loading.
>> Added option for user-defined confidences in ASCA ellipsoids.
>> Corrected error in predict.rosa() (wrong intercept when using coefs argument).
>> Extended documentation for coef.rosa() and predict.rosa().
>> Added support for data without dimnames in ROSA and SO-PLS.

##### Version 0.8.5
Date: 6 March 2023
>> Corrected weighting in block loop for MB-PLS.

##### Version 0.8.4
Date: 20 February 2023
>> Corrected GCA (gca) outputs by removing blockLoadings, adding blockDecomp and exchanging blockCoef.
>> Added support for setting number of components per block in GCA.
>> Fixed bug in MB-PLS (mbpls) when blockscale="none" (thanks to GitHub user flomehl).
>> Corrected scaling of response in SO-PLS-PM (sopls_pm).

##### Version 0.8.3
Date: 29 October 2022
>> Added options for various block weights in MB-PLS and sMB-PLS.
>> Added correlation loading plots (corrplot).
>> Improved feedback for score- and loadingplot for SO-PLS.
>> Added possibility of plotting scores from multiple blocks for SO-PLS.
>> Changed computations of explained variances for DISCO.
>> Fixed wrong fitted values for SO-PLS model with 1 component in first block.

##### Version 0.8.2
Date: 06 June 2022
>> Changed default behaviour of sopls_pm to simultaneously orthogonalise on intermediate blocks instead of orthogonalising sequentially. Legacy behaviour (used in some papers) can be obtained by setting simultaneous=FALSE.
>> Changed default interface of MB-PLS, sMB-PLS and MB-RDA to use formula, but retained backward compatibility with new arguments X and Y.
>> Changed internal handling of X-list in SO-PLS/ROSA to improve naming (excluding block names in variables).

##### Version 0.8.1
Date: 28 December 2021
>> Added NEWS to package.
>> Improved documentation of PCA-GCA.
>> Changed ROSA default argument internal.validation=FALSE.

##### Version 0.8.0
Date: 07 September 2021
>> Initial CRAN release of package multiblock.
