octave only supports .xlsx Excel extension (no longer supports .xls extension). #1293
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@ -2592,13 +2592,10 @@ variable, the file must contain a row or column vector of the same name. Their l
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MAT-file (extension @file{.mat}): same as for M-files.
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MAT-file (extension @file{.mat}): same as for M-files.
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@item
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@item
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Excel file (extension @file{.xls} or @file{.xlsx}): for each
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Excel file (extension @file{.xls} or @file{.xlsx}): for each endogenous and
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endogenous and exogenous, the file must contain a column of the same
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exogenous, the file must contain a column of the same name. NB: Octave only
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name (supported under Octave if the
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supports the @file{.xlsx} file extension and must have the
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@uref{http://octave.sourceforge.net/io/,io} and
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@uref{http://octave.sourceforge.net/io/,io} package installed (easily done via octave by typing `@code{pkg install -forge io}').
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@uref{http://octave.sourceforge.net/java/,java} packages from
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Octave-Forge are installed, along with a
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@uref{http://www.java.com/download,Java Runtime Environment}).
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@end itemize
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@end itemize
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@customhead{Warning}
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@customhead{Warning}
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@ -4968,13 +4965,11 @@ based on Parzen
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@item datafile = @var{FILENAME}
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@item datafile = @var{FILENAME}
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@anchor{datafile} The datafile: a @file{.m} file, a @file{.mat} file, a
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@anchor{datafile} The datafile: a @file{.m} file, a @file{.mat} file, a
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@file{.csv} file, or a @file{.xls}/@file{.xlsx} file (under Octave, the
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@file{.csv} file, or a @file{.xls}/@file{.xlsx} file (under Octave, the
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@uref{http://octave.sourceforge.net/io/,io} from Octave-Forge is required for
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@uref{http://octave.sourceforge.net/io/,io} package from Octave-Forge is
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the @file{.csv}, @file{.xls} and @file{.xlsx} formats; in addition, for the
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required for the @file{.csv} and @file{.xlsx} formats and the @file{.xls} file
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@file{.xls} and @file{.xlsx} formats, the
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extension is not supported). Note that the base name (@i{i.e.} without
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@uref{http://octave.sourceforge.net/java/,java} package is required, along with
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extension) of the datafile has to be different from the base name of the model
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a @uref{http://www.java.com/download,Java Runtime Environment}). Note that the
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file.
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base name (ie without extension) of the datafile has to be different from the
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base name of the model file.
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@item dirname = @var{FILENAME}
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@item dirname = @var{FILENAME}
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Directory in which to store @code{estimation} output. To pass a
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Directory in which to store @code{estimation} output. To pass a
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@ -11485,7 +11480,7 @@ Instantiates an empty @dseries object, with, if defined, an initial date given b
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@deftypefn {dseries} dseries (@var{FILENAME}[, @var{INITIAL_DATE}])
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@deftypefn {dseries} dseries (@var{FILENAME}[, @var{INITIAL_DATE}])
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Instantiates and populates a @dseries object with a data file specified by @var{FILENAME}, a string passed as input. Valid file types are @file{.m} file, @file{.mat} file, @file{.csv} file, and @file{.xls} file. A typical @file{.m} file will have the following form:
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Instantiates and populates a @dseries object with a data file specified by @var{FILENAME}, a string passed as input. Valid file types are @file{.m} file, @file{.mat} file, @file{.csv} file, and @file{.xls}/@file{.xlsx} file (Octave only supports @file{.xlsx} files and the @uref{http://octave.sourceforge.net/io/,io} package from Octave-Forge must be installed). A typical @file{.m} file will have the following form:
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@example
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@example
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INIT__ = '1994Q3';
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INIT__ = '1994Q3';
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@ -550,7 +550,7 @@ EXTRA_DIST = \
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external_function/extFunWithFirstAndSecondDerivs.m \
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external_function/extFunWithFirstAndSecondDerivs.m \
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expectations/expectation_ss_old_steadystate.m \
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expectations/expectation_ss_old_steadystate.m \
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steady_state/walsh1_old_ss_steadystate.m \
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steady_state/walsh1_old_ss_steadystate.m \
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data/test.xls \
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data/test.xlsx \
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gsa/morris/nk_est_data.m \
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gsa/morris/nk_est_data.m \
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analytic_derivatives/fsdat_simul.m \
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analytic_derivatives/fsdat_simul.m \
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fs2000/fsdat_simul.m \
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fs2000/fsdat_simul.m \
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@ -20,4 +20,4 @@ end;
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varobs dx dy;
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varobs dx dy;
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check;
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check;
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estimation(datafile='test.xls',nobs=1000,mh_replic=2000,mh_jscale=1.3);
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estimation(datafile='test.xlsx',nobs=1000,mh_replic=2000,mh_jscale=1.3);
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