changes.txt

偏最小二乘算法代码及相关说明,在机器学习,实时数值仿真中用得较多

$Id: CHANGES 151 2007-10-17 13:03:06Z bhm $

Changes in 2.1-0
================

New features:
-------------
#NAME?
"  (Note that the actual implementation is experimental, and could change in"
  the future.)

- The `wide kernel' PLS algorithm has been implemented.  It is faster than the
  other algorithms for very wide data.

#NAME?
"  (R2, (R)MSEP) have gained an argument `main' to set the main title of the"
  plot.

#NAME?
  (`scale = TRUE')

User-visible changes:
---------------------
- plots that go over several pages now only set `par(ask = TRUE)' if the plot
  device is interactive (suggested by Kevin Wright).

"- The definition of R^2 has been changed to  1 - SSE/SST for all estimators,"
  so R2() will give different results for test sets and cross-validation.

"- The handling of NAs in prediction, R2, (R)MSEP and cross-validation has been"
  improved (and several bugs fixed).

Bug fixes:
----------
#NAME?
"  too early, so they disappeared on the last plot when nCols == nRows == 1."

- loadingplot.default() didn't check for NULL rownames().

Internal changes:
-----------------
- The (R)MSEP/R^2 calculations have been reorganised.

Documentation:
--------------
"- A couple of functions have been given the keyword ""internal"", and so are"
  hidden from the index.


Changes in 2.0-1
================

Bug fixes:
----------
- Fixed 1-component bugs in oscorespls.fit() and svdpc.fit()

#NAME?
  loadingplot and coefplot

- Removed non-ASCII characters from comments in R files (these gave
  warnings/errors when checking on Macosx)


Changes in 2.0-0
================

New features:
-------------
#NAME?
  See ?pls.options.

#NAME?
  x axis labels.

#NAME?
  intercept is removed from the model matrix.

- A new data set 'gasoline' has been included.

User-visible changes:
---------------------
#NAME?
"  Depending on the algorithm used, the size of the matrices, and the number"
"  of components used, one can expect from 5% to 65% reduction in"
  computation time.

#NAME?
  changed.  They are now scaled using the `classic' scaling found in
  oscorespls.

"- The arguments `ncomp' now always means ""number of components"", and `comps'"
"  always means ""component number"".  The argument `cumulative' has been"
  removed.

#NAME?

- The 'NIR' and 'sensory' data sets have been renamed to 'yarn' and 'oliveoil'.

Bug fixes:
----------
- Fixed bugs in MSEP.mvr and R2 that gave 'NA's and errors with 'na.exclude'.

#NAME?

Internal changes:
-----------------
- New utility function delete.intercept().

#NAME?


Changes in 1.2-1
================

New features:
-------------
#NAME?

Bug fixes:
----------
#NAME?
  mulitresponse models with fewer responses than predictors

User-visible changes:
---------------------
#NAME?
  in oscorespls.fit() has been changed

#NAME?

#NAME?

- crossval() now checks whether the model was fit with a `data' argument


Changes in 1.2-0
================

New features:
-------------
#NAME?
  control the properties of the target line in predplot().

- The `mvr' method for predict() now handles missing data like the `lm'
  method does (the default is to predict `NA').

"- fitted() and residuals() now return NA for observations with missing values,"
  if na.action is na.exclude.

Bug fixes:
----------
- `ncomp' is now reduced when it is too large for the requested 
  cross-validation.

- The (optional) plot parametres `cex' and `font' were incorrectly matched
  with `cex.main' and `font.main' in predplot().

User-visible changes:
---------------------
- The `mvr' method for predict() now checks the number of coloumns of
  `newdata' when it is a matrix.

Internal changes:
-----------------
"- MSEP() and RMSEP() are now generic, with methods for `mvr' objects."

#NAME?
  objects whose loadings() method return a matrix.

"- A new function loadings().  It is generic, with a default method that"
  handles `prcomp' objects and anything with a `loadings' component.

#NAME?
  objects whose scores() method return a matrix.

- The `prcomp' method for scores() has been removed.  The default method now
  handles `prcomp' objects as an exception.  scores() now also attaches the
  explained variances (if available) as the attribute `explvar'.

#NAME?

#NAME?

- mvr() now returns a `na.action' component.

#NAME?
  handle observations with missing values.


Changes in 1.1-0
================

New features:
-------------
#NAME?

#NAME?
  explicit centering and/or scaling.

- Correlation loadings plot (corrplot).

"- New argument `varnames' in coefplot, to label the x tick marks with the"
  variable names. 

- loadingplot now uses the `labels' argument to label x tick marks when
  'scatter = FALSE'.

#NAME?
  argument 'legendpos'.

User-visible changes:
---------------------
#NAME?
  of X when there is only one term and it has colnames.

#NAME?
"  explicitly, wherever possible (e.g. lwd = NULL instead of lwd = 1).  That"
"  way, par() settings are respected."

"- Most ""handled"" graphical parametres have been added to the formal argument"
  list (for most functions: xlab and ylab).

Internal changes:
-----------------
#NAME?
  functions. 

#NAME?

"- Allows `method = ""model.frame""' in mvr, plsr and pcr."

#NAME?

Documentation:
--------------
- Added missing output component `Yloadings' to oscorepls.fit.Rd

#NAME?


Changes in 1.0-3
================
- mvrCv.R: Bugfix; added ^2 to R2 calculation

- predict.mvr.R: Fix handling of `newdata' such that checks of the dimensions
"  of the variables found, are performed.  Also allow a matrix (without any"
"  checks).  In addition, a small fix for matrices without row names."

#NAME?

#NAME?

#NAME?

- Numerous small clean-ups in the .Rd files


Changes in 1.0-2
================
- Added encoding information to DESCRIPTION and *.Rd