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ENH: added OLS.predict method #1027

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ENH: added OLS.predict method #1027

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changhiskhan
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does alignment then passes through call to statsmodels ols predict method

GH #1008

@changhiskhan
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In relation to question on StackOverflow: http://stackoverflow.com/questions/9943848/forecasting-using-pandas-ols

…ior. Uses dot product directly so pandas users aren't affected by statsmodels API change
@wesm wesm closed this Apr 12, 2012
yarikoptic added a commit to neurodebian/pandas that referenced this pull request Apr 12, 2012
* commit 'v0.7.2-111-gf7b9139': (178 commits)
  DOC: refer to pydata@googlegroups.com instead of pystatsmodels@googlegroups.com
  DOC: fix url to vbench moved over to pydata
  DOC: some docs re: Panel.from_dict with orient='minor', close pandas-dev#1009
  ENH: use filtered exog index for the y_predict result, per pandas-dev#1027 close pandas-dev#1008
  ENH: make method signature more consistent with new statsmodels behavior. Uses dot product directly so pandas users aren't affected by statsmodels API change
  ENH: added OLS.predict method; pass through call to statsmodels ols predict method
  DOC: encoding affects python 2 and 3
  DOC: read_fwf doc tweaks for 0.7.3
  Sphinx documentation for read_fwf
  DOC: add what's new for 0.7.3, some scatter_matrix improvements
  TST: python 3 fixes
  BUG: return ax.get_figure() in scatter_plot if ax argument is not None
  add ax kwd to several functions and push ax into subplots so new subplot axes is generated on the ax's figure
  ENH: label sizes and rotations for histogram TST: test cases for both Series and DataFrame histogram
  DOC: all 0.7.3 issues should now be in either new features or bug fixes
  ENH: partial multiple setting on first level via .ix on DataFrame, close pandas-dev#409
  RLS: python 2.5 compatibility stuff with boolean arrays
  BUG: treat None as NA in DataFrame arithmetic operations, pandas-dev#992
  BUG: fix indexing error when selecting section of a hierarchically-indexed DataFrame row, close pandas-dev#1013
  ENH: attach name to Series on axis=1 in DataFrame.apply, pandas-dev#983
  ...
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