data/statsmodels-0.12.1/README.rst:69: modle ==> model
data/statsmodels-0.12.1/versioneer.py:183: langauges ==> languages
data/statsmodels-0.12.1/versioneer.py:691: unparseable ==> unparsable
data/statsmodels-0.12.1/versioneer.py:1083: unparseable ==> unparsable
data/statsmodels-0.12.1/archive/tsa/notes_organize.txt:131: nd ==> and, 2nd
data/statsmodels-0.12.1/docs/source/nonparametric.rst:79: Hart ==> Heart, harm
data/statsmodels-0.12.1/docs/source/regression.rst:64: hierachy ==> hierarchy
data/statsmodels-0.12.1/docs/source/spelling_wordlist.txt:100: Celcius ==> Celsius
data/statsmodels-0.12.1/docs/source/spelling_wordlist.txt:396: Linke ==> Linked
data/statsmodels-0.12.1/docs/source/spelling_wordlist.txt:543: Protext ==> Protect
data/statsmodels-0.12.1/docs/source/spelling_wordlist.txt:584: Reponse ==> Response
data/statsmodels-0.12.1/docs/source/spelling_wordlist.txt:685: Theis ==> This, thesis
data/statsmodels-0.12.1/docs/source/spelling_wordlist.txt:688: Thie ==> The, this
data/statsmodels-0.12.1/docs/source/spelling_wordlist.txt:784: agains ==> against, again
data/statsmodels-0.12.1/docs/source/spelling_wordlist.txt:851: auxilliary ==> auxiliary
data/statsmodels-0.12.1/docs/source/spelling_wordlist.txt:1109: determinstic ==> deterministic
data/statsmodels-0.12.1/docs/source/spelling_wordlist.txt:1232: explantion ==> explanation
data/statsmodels-0.12.1/docs/source/spelling_wordlist.txt:1297: fot ==> for, fit, dot, rot, cot, got, tot, fog
data/statsmodels-0.12.1/docs/source/spelling_wordlist.txt:1320: funcions ==> functions
data/statsmodels-0.12.1/docs/source/spelling_wordlist.txt:1413: heterogenous ==> heterogeneous
data/statsmodels-0.12.1/docs/source/spelling_wordlist.txt:1465: indes ==> index
data/statsmodels-0.12.1/docs/source/spelling_wordlist.txt:1563: kown ==> known
data/statsmodels-0.12.1/docs/source/spelling_wordlist.txt:1617: linke ==> linked
data/statsmodels-0.12.1/docs/source/spelling_wordlist.txt:1620: linz ==> lines
data/statsmodels-0.12.1/docs/source/spelling_wordlist.txt:1796: nd ==> and, 2nd
data/statsmodels-0.12.1/docs/source/spelling_wordlist.txt:1868: numer ==> number
data/statsmodels-0.12.1/docs/source/spelling_wordlist.txt:1909: overriden ==> overridden
data/statsmodels-0.12.1/docs/source/spelling_wordlist.txt:1968: preceed ==> precede, proceed
data/statsmodels-0.12.1/docs/source/spelling_wordlist.txt:1986: programatically ==> programmatically
data/statsmodels-0.12.1/docs/source/spelling_wordlist.txt:2052: regresion ==> regression
data/statsmodels-0.12.1/docs/source/spelling_wordlist.txt:2064: reponse ==> response
data/statsmodels-0.12.1/docs/source/spelling_wordlist.txt:2201: standarized ==> standardized
data/statsmodels-0.12.1/docs/source/spelling_wordlist.txt:2286: tranformations ==> transformations
data/statsmodels-0.12.1/docs/source/spelling_wordlist.txt:2414: weigths ==> weights
data/statsmodels-0.12.1/docs/source/gee.rst:10: withing ==> within
data/statsmodels-0.12.1/docs/source/gettingstarted.rst:24: heterogenous ==> heterogeneous
data/statsmodels-0.12.1/docs/source/_static/nbviewer.pygments.css:33: nd ==> and, 2nd
data/statsmodels-0.12.1/docs/source/dev/maintainer_notes.rst:245: ot ==> to, of, or
data/statsmodels-0.12.1/docs/source/plots/graphics_gofplots_qqplot.py:6: editted ==> edited
data/statsmodels-0.12.1/docs/source/release/version0.10.rst:335: Theis ==> This, thesis
data/statsmodels-0.12.1/docs/source/release/version0.10.rst:398: Thie ==> The, this
data/statsmodels-0.12.1/docs/source/release/version0.10.rst:853: Protext ==> Protect
data/statsmodels-0.12.1/docs/source/release/version0.11.rst:483: programatically ==> programmatically
data/statsmodels-0.12.1/docs/source/release/version0.11.rst:748: programatically ==> programmatically
data/statsmodels-0.12.1/docs/source/release/version0.12.rst:181: explantion ==> explanation
data/statsmodels-0.12.1/docs/source/release/version0.12.rst:655: explantion ==> explanation
data/statsmodels-0.12.1/docs/source/release/version0.6.rst:244: Linke ==> Linked
data/statsmodels-0.12.1/examples/incomplete/ols_tftest.py:67: ttests ==> tests
data/statsmodels-0.12.1/examples/incomplete/wls_extended.py:279: hist ==> heist, his
data/statsmodels-0.12.1/examples/incomplete/wls_extended.py:318: hist ==> heist, his
data/statsmodels-0.12.1/examples/notebooks/discrete_choice_example.ipynb:592: hist ==> heist, his
data/statsmodels-0.12.1/examples/notebooks/glm.ipynb:278: hist ==> heist, his
data/statsmodels-0.12.1/examples/notebooks/kernel_density.ipynb:99: hist ==> heist, his
data/statsmodels-0.12.1/examples/notebooks/kernel_density.ipynb:149: hist ==> heist, his
data/statsmodels-0.12.1/examples/notebooks/kernel_density.ipynb:200: hist ==> heist, his
data/statsmodels-0.12.1/examples/notebooks/kernel_density.ipynb:366: hist ==> heist, his
data/statsmodels-0.12.1/examples/notebooks/metaanalysis1.ipynb:680: TE ==> THE, BE, WE
data/statsmodels-0.12.1/examples/notebooks/statespace_dfm_coincident.ipynb:738: Peform ==> Perform
data/statsmodels-0.12.1/examples/notebooks/statespace_local_linear_trend.ipynb:72: should't ==> shouldn't
data/statsmodels-0.12.1/examples/notebooks/statespace_tvpvar_mcmc_cfa.ipynb:331: programatically ==> programmatically
data/statsmodels-0.12.1/examples/notebooks/generic_mle.ipynb:218: alph ==> alpha
data/statsmodels-0.12.1/examples/notebooks/generic_mle.ipynb:220: alph ==> alpha
data/statsmodels-0.12.1/examples/notebooks/generic_mle.ipynb:259: alph ==> alpha
data/statsmodels-0.12.1/examples/notebooks/generic_mle.ipynb:261: alph ==> alpha
data/statsmodels-0.12.1/examples/python/discrete_choice_example.py:219: hist ==> heist, his
data/statsmodels-0.12.1/examples/python/generic_mle.py:103: alph ==> alpha
data/statsmodels-0.12.1/examples/python/generic_mle.py:105: alph ==> alpha
data/statsmodels-0.12.1/examples/python/generic_mle.py:124: alph ==> alpha
data/statsmodels-0.12.1/examples/python/generic_mle.py:126: alph ==> alpha
data/statsmodels-0.12.1/examples/python/glm.py:116: hist ==> heist, his
data/statsmodels-0.12.1/examples/python/kernel_density.py:78: hist ==> heist, his
data/statsmodels-0.12.1/examples/python/kernel_density.py:101: hist ==> heist, his
data/statsmodels-0.12.1/examples/python/kernel_density.py:145: hist ==> heist, his
data/statsmodels-0.12.1/examples/python/kernel_density.py:263: hist ==> heist, his
data/statsmodels-0.12.1/examples/python/statespace_dfm_coincident.py:708: Peform ==> Perform
data/statsmodels-0.12.1/examples/python/statespace_local_linear_trend.py:93: should't ==> shouldn't
data/statsmodels-0.12.1/statsmodels/_version.py:271: unparseable ==> unparsable
data/statsmodels-0.12.1/statsmodels/base/_constraints.py:213: statisfy ==> satisfy
data/statsmodels-0.12.1/statsmodels/base/_constraints.py:352: adjustements ==> adjustments
data/statsmodels-0.12.1/statsmodels/base/_constraints.py:372: tranformation ==> transformation
data/statsmodels-0.12.1/statsmodels/base/_penalized.py:42: prefered ==> preferred
data/statsmodels-0.12.1/statsmodels/base/_penalties.py:427: penalities ==> penalties
data/statsmodels-0.12.1/statsmodels/base/_screening.py:53: withing ==> within
data/statsmodels-0.12.1/statsmodels/base/_screening.py:57: withing ==> within
data/statsmodels-0.12.1/statsmodels/base/_screening.py:61: ond ==> one
data/statsmodels-0.12.1/statsmodels/base/covtype.py:220: explicitely ==> explicitly
data/statsmodels-0.12.1/statsmodels/base/model.py:622: consisteny ==> consistency, consistent
data/statsmodels-0.12.1/statsmodels/base/model.py:641: doens't ==> doesn't
data/statsmodels-0.12.1/statsmodels/base/model.py:645: addding ==> adding
data/statsmodels-0.12.1/statsmodels/base/tests/test_generic_methods.py:519: constrasts ==> contrasts
data/statsmodels-0.12.1/statsmodels/base/tests/test_generic_methods.py:520: constrasts ==> contrasts
data/statsmodels-0.12.1/statsmodels/base/tests/test_penalized.py:85: warnigns ==> warnings
data/statsmodels-0.12.1/statsmodels/base/tests/test_penalized.py:85: becaus ==> because
data/statsmodels-0.12.1/statsmodels/compat/pandas.py:125: verion ==> version
data/statsmodels-0.12.1/statsmodels/datasets/template_data.py:10: correspondance ==> correspondence
data/statsmodels-0.12.1/statsmodels/datasets/utils.py:254: programatically ==> programmatically
data/statsmodels-0.12.1/statsmodels/datasets/ccard/src/names.txt:11: Indiviual ==> Individual
data/statsmodels-0.12.1/statsmodels/datasets/elnino/data.py:20: Celcius ==> Celsius
data/statsmodels-0.12.1/statsmodels/datasets/elnino/data.py:33: Celcius ==> Celsius
data/statsmodels-0.12.1/statsmodels/datasets/fertility/fertility.csv:67: FRO ==> FOR, FROM
data/statsmodels-0.12.1/statsmodels/datasets/fertility/fertility.csv:179: SOM ==> SOME
data/statsmodels-0.12.1/statsmodels/datasets/fertility/fertility.csv:194: THA ==> THAN, THAT, THE
data/statsmodels-0.12.1/statsmodels/datasets/nile/data.py:30: volumne ==> volume
data/statsmodels-0.12.1/statsmodels/datasets/randhie/src/randdesc.txt:16: ment ==> meant
data/statsmodels-0.12.1/statsmodels/datasets/randhie/src/randdesc.txt:29: ba ==> by, be
data/statsmodels-0.12.1/statsmodels/datasets/scotland/R_scotvote.s:6: MOR ==> MORE
data/statsmodels-0.12.1/statsmodels/datasets/scotland/data.py:45: MOR ==> MORE
data/statsmodels-0.12.1/statsmodels/datasets/scotland/scotvote.csv:1: MOR ==> MORE
data/statsmodels-0.12.1/statsmodels/datasets/scotland/src/scotland_changes.html:23: archiv ==> archive
data/statsmodels-0.12.1/statsmodels/datasets/scotland/src/scotland_changes.html:82: ANS ==> AND
data/statsmodels-0.12.1/statsmodels/datasets/scotland/src/scotland_changes.html:83: ANS ==> AND
data/statsmodels-0.12.1/statsmodels/datasets/scotland/src/scotland_changes.html:178: MOR ==> MORE
data/statsmodels-0.12.1/statsmodels/datasets/scotland/src/scotland_changes.html:179: MOR ==> MORE
data/statsmodels-0.12.1/statsmodels/discrete/_diagnostics_count.py:80: probabilites ==> probabilities
data/statsmodels-0.12.1/statsmodels/discrete/discrete_margins.py:632: tranformations ==> transformations
data/statsmodels-0.12.1/statsmodels/discrete/discrete_model.py:746: iterm ==> term, item, intern
data/statsmodels-0.12.1/statsmodels/discrete/discrete_model.py:749: iterm ==> term, item, intern
data/statsmodels-0.12.1/statsmodels/discrete/discrete_model.py:1175: tranformation ==> transformation
data/statsmodels-0.12.1/statsmodels/discrete/discrete_model.py:2519: nd ==> and, 2nd
data/statsmodels-0.12.1/statsmodels/discrete/discrete_model.py:3662: tranformations ==> transformations
data/statsmodels-0.12.1/statsmodels/discrete/tests/test_discrete.py:617: compatability ==> compatibility
data/statsmodels-0.12.1/statsmodels/discrete/tests/test_margins.py:83: marge ==> merge
data/statsmodels-0.12.1/statsmodels/discrete/tests/test_margins.py:85: marge ==> merge
data/statsmodels-0.12.1/statsmodels/discrete/tests/test_margins.py:102: marge ==> merge
data/statsmodels-0.12.1/statsmodels/discrete/tests/test_margins.py:104: marge ==> merge
data/statsmodels-0.12.1/statsmodels/discrete/tests/test_margins.py:121: marge ==> merge
data/statsmodels-0.12.1/statsmodels/discrete/tests/test_margins.py:123: marge ==> merge
data/statsmodels-0.12.1/statsmodels/discrete/tests/test_count_model.py:330: Ser ==> Set
data/statsmodels-0.12.1/statsmodels/discrete/tests/results/results_discrete.py:684: mata ==> meta, mater
data/statsmodels-0.12.1/statsmodels/distributions/edgeworth.py:151: Ser ==> Set
data/statsmodels-0.12.1/statsmodels/distributions/mixture_rvs.py:270: hist ==> heist, his
data/statsmodels-0.12.1/statsmodels/distributions/mixture_rvs.py:275: hist ==> heist, his
data/statsmodels-0.12.1/statsmodels/duration/hazard_regression.py:773: numer ==> number
data/statsmodels-0.12.1/statsmodels/duration/hazard_regression.py:775: numer ==> number
data/statsmodels-0.12.1/statsmodels/duration/hazard_regression.py:909: regresion ==> regression
data/statsmodels-0.12.1/statsmodels/duration/tests/results/phreg_gentests.py:29: Theses ==> These, thesis
data/statsmodels-0.12.1/statsmodels/emplike/aft_el.py:268: acocunt ==> account
data/statsmodels-0.12.1/statsmodels/emplike/tests/test_origin.py:10: ot ==> to, of, or
data/statsmodels-0.12.1/statsmodels/emplike/tests/test_regression.py:13: ot ==> to, of, or
data/statsmodels-0.12.1/statsmodels/examples/ex_arch_canada.py:109: resarch ==> research
data/statsmodels-0.12.1/statsmodels/examples/ex_arch_canada.py:111: resarch ==> research
data/statsmodels-0.12.1/statsmodels/examples/ex_arch_canada.py:111: resarch ==> research
data/statsmodels-0.12.1/statsmodels/examples/ex_arch_canada.py:111: resarch ==> research
data/statsmodels-0.12.1/statsmodels/examples/ex_feasible_gls_het_0.py:54: halfs ==> halves
data/statsmodels-0.12.1/statsmodels/examples/ex_kde_confint.py:32: hist ==> heist, his
data/statsmodels-0.12.1/statsmodels/examples/ex_kde_confint.py:34: hist ==> heist, his
data/statsmodels-0.12.1/statsmodels/examples/ex_kde_confint.py:57: hist ==> heist, his
data/statsmodels-0.12.1/statsmodels/examples/ex_kde_confint.py:59: hist ==> heist, his
data/statsmodels-0.12.1/statsmodels/examples/ex_kde_normalreference.py:45: hist ==> heist, his
data/statsmodels-0.12.1/statsmodels/examples/ex_kde_normalreference.py:47: hist ==> heist, his
data/statsmodels-0.12.1/statsmodels/examples/ex_kernel_test_functional.py:68: hist ==> heist, his
data/statsmodels-0.12.1/statsmodels/examples/ex_kernel_test_functional_li_wang.py:138: hist ==> heist, his
data/statsmodels-0.12.1/statsmodels/examples/ex_rootfinding.py:106: minumum ==> minimum
data/statsmodels-0.12.1/statsmodels/examples/ex_univar_kde.py:4: selction ==> selection
data/statsmodels-0.12.1/statsmodels/examples/example_kde.py:22: hist ==> heist, his
data/statsmodels-0.12.1/statsmodels/examples/example_rpy.py:13: idiosyncracies ==> idiosyncrasies
data/statsmodels-0.12.1/statsmodels/examples/run_all.py:65: reenable ==> re-enable
data/statsmodels-0.12.1/statsmodels/examples/ex_generic_mle_tdist.py:829: hist ==> heist, his
data/statsmodels-0.12.1/statsmodels/examples/l1_demo/demo.py:47: actully ==> actually
data/statsmodels-0.12.1/statsmodels/formula/tests/test_formula.py:213: Frist ==> First
data/statsmodels-0.12.1/statsmodels/gam/generalized_additive_model.py:953: penality ==> penalty
data/statsmodels-0.12.1/statsmodels/gam/generalized_additive_model.py:986: penality ==> penalty
data/statsmodels-0.12.1/statsmodels/gam/smooth_basis.py:70: specificed ==> specified
data/statsmodels-0.12.1/statsmodels/gam/smooth_basis.py:289: te ==> the, be, we
data/statsmodels-0.12.1/statsmodels/gam/smooth_basis.py:405: numer ==> number
data/statsmodels-0.12.1/statsmodels/gam/smooth_basis.py:986: numer ==> number
data/statsmodels-0.12.1/statsmodels/genmod/bayes_mixed_glm.py:367: te ==> the, be, we
data/statsmodels-0.12.1/statsmodels/genmod/bayes_mixed_glm.py:371: te ==> the, be, we
data/statsmodels-0.12.1/statsmodels/genmod/bayes_mixed_glm.py:373: te ==> the, be, we
data/statsmodels-0.12.1/statsmodels/genmod/bayes_mixed_glm.py:383: te ==> the, be, we
data/statsmodels-0.12.1/statsmodels/genmod/bayes_mixed_glm.py:384: te ==> the, be, we
data/statsmodels-0.12.1/statsmodels/genmod/bayes_mixed_glm.py:388: te ==> the, be, we
data/statsmodels-0.12.1/statsmodels/genmod/bayes_mixed_glm.py:392: te ==> the, be, we
data/statsmodels-0.12.1/statsmodels/genmod/bayes_mixed_glm.py:394: te ==> the, be, we
data/statsmodels-0.12.1/statsmodels/genmod/bayes_mixed_glm.py:394: te ==> the, be, we
data/statsmodels-0.12.1/statsmodels/genmod/bayes_mixed_glm.py:396: te ==> the, be, we
data/statsmodels-0.12.1/statsmodels/genmod/generalized_estimating_equations.py:2092: tranformations ==> transformations
data/statsmodels-0.12.1/statsmodels/genmod/generalized_estimating_equations.py:2187: hist ==> heist, his
data/statsmodels-0.12.1/statsmodels/genmod/generalized_estimating_equations.py:2188: hist ==> heist, his
data/statsmodels-0.12.1/statsmodels/genmod/generalized_linear_model.py:270: Reponse ==> Response
data/statsmodels-0.12.1/statsmodels/genmod/generalized_linear_model.py:1395: tranformation ==> transformation
data/statsmodels-0.12.1/statsmodels/genmod/families/links.py:71: proplem ==> problem
data/statsmodels-0.12.1/statsmodels/genmod/families/links.py:970: numer ==> number
data/statsmodels-0.12.1/statsmodels/genmod/families/links.py:972: numer ==> number
data/statsmodels-0.12.1/statsmodels/genmod/families/tests/test_link.py:7: nd ==> and, 2nd
data/statsmodels-0.12.1/statsmodels/genmod/families/tests/test_link.py:65: nd ==> and, 2nd
data/statsmodels-0.12.1/statsmodels/genmod/families/tests/test_link.py:85: nd ==> and, 2nd
data/statsmodels-0.12.1/statsmodels/genmod/tests/gee_categorical_simulation_check.py:2: Assesment ==> Assessment
data/statsmodels-0.12.1/statsmodels/genmod/tests/gee_gaussian_simulation_check.py:2: Assesment ==> Assessment
data/statsmodels-0.12.1/statsmodels/genmod/tests/gee_poisson_simulation_check.py:2: Assesment ==> Assessment
data/statsmodels-0.12.1/statsmodels/genmod/tests/gee_simulation_check.py:2: Assesment ==> Assessment
data/statsmodels-0.12.1/statsmodels/genmod/tests/test_glm.py:1973: commpound ==> compound
data/statsmodels-0.12.1/statsmodels/genmod/tests/test_glm.py:2201: doens ==> does
data/statsmodels-0.12.1/statsmodels/genmod/tests/test_glm_weights.py:271: calcualtion ==> calculation
data/statsmodels-0.12.1/statsmodels/genmod/tests/results/results_glm.py:1082: analagous ==> analogous
data/statsmodels-0.12.1/statsmodels/graphics/boxplots.py:49: Transparancy ==> Transparency
data/statsmodels-0.12.1/statsmodels/graphics/boxplots.py:83: whis ==> this
data/statsmodels-0.12.1/statsmodels/graphics/factorplots.py:34: reponse ==> response
data/statsmodels-0.12.1/statsmodels/graphics/mosaicplot.py:6: informations ==> information
data/statsmodels-0.12.1/statsmodels/graphics/mosaicplot.py:198: dictionay ==> dictionary
data/statsmodels-0.12.1/statsmodels/graphics/mosaicplot.py:336: indipendence ==> independence
data/statsmodels-0.12.1/statsmodels/graphics/mosaicplot.py:509: fot ==> for, fit, dot, rot, cot, got, tot, fog
data/statsmodels-0.12.1/statsmodels/graphics/tsaplots.py:337: Lable ==> Label
data/statsmodels-0.12.1/statsmodels/graphics/tests/test_mosaicplot.py:73: splitted ==> split
data/statsmodels-0.12.1/statsmodels/graphics/tests/test_mosaicplot.py:106: datas ==> data
data/statsmodels-0.12.1/statsmodels/graphics/tests/test_mosaicplot.py:108: datas ==> data
data/statsmodels-0.12.1/statsmodels/graphics/tests/test_mosaicplot.py:112: datas ==> data
data/statsmodels-0.12.1/statsmodels/graphics/tests/test_mosaicplot.py:112: datas ==> data
data/statsmodels-0.12.1/statsmodels/graphics/tests/test_mosaicplot.py:116: datas ==> data
data/statsmodels-0.12.1/statsmodels/graphics/tests/test_mosaicplot.py:116: datas ==> data
data/statsmodels-0.12.1/statsmodels/graphics/tests/test_mosaicplot.py:119: datas ==> data
data/statsmodels-0.12.1/statsmodels/graphics/tests/test_mosaicplot.py:119: datas ==> data
data/statsmodels-0.12.1/statsmodels/graphics/tests/test_mosaicplot.py:121: datas ==> data
data/statsmodels-0.12.1/statsmodels/graphics/tests/test_mosaicplot.py:121: datas ==> data
data/statsmodels-0.12.1/statsmodels/graphics/tests/test_mosaicplot.py:124: datas ==> data
data/statsmodels-0.12.1/statsmodels/graphics/tests/test_mosaicplot.py:126: datas ==> data
data/statsmodels-0.12.1/statsmodels/graphics/tests/test_mosaicplot.py:128: datas ==> data
data/statsmodels-0.12.1/statsmodels/graphics/tests/test_mosaicplot.py:132: datas ==> data
data/statsmodels-0.12.1/statsmodels/imputation/bayes_mi.py:247: tha ==> than, that, the
data/statsmodels-0.12.1/statsmodels/imputation/mice.py:106: TE ==> THE, BE, WE
data/statsmodels-0.12.1/statsmodels/imputation/mice.py:857: hist ==> heist, his
data/statsmodels-0.12.1/statsmodels/imputation/mice.py:860: hist ==> heist, his
data/statsmodels-0.12.1/statsmodels/imputation/mice.py:863: hist ==> heist, his
data/statsmodels-0.12.1/statsmodels/imputation/mice.py:899: hist ==> heist, his
data/statsmodels-0.12.1/statsmodels/imputation/mice.py:902: hist ==> heist, his
data/statsmodels-0.12.1/statsmodels/imputation/mice.py:903: hist ==> heist, his
data/statsmodels-0.12.1/statsmodels/imputation/ros.py:171: limts ==> limits
data/statsmodels-0.12.1/statsmodels/imputation/ros.py:183: editted ==> edited
data/statsmodels-0.12.1/statsmodels/imputation/ros.py:262: editted ==> edited
data/statsmodels-0.12.1/statsmodels/imputation/ros.py:337: postions ==> positions
data/statsmodels-0.12.1/statsmodels/imputation/ros.py:363: ND ==> AND, 2ND
data/statsmodels-0.12.1/statsmodels/imputation/ros.py:373: proceedure ==> procedure
data/statsmodels-0.12.1/statsmodels/imputation/ros.py:401: everwhere ==> everywhere
data/statsmodels-0.12.1/statsmodels/imputation/ros.py:418: editted ==> edited
data/statsmodels-0.12.1/statsmodels/imputation/ros.py:428: valies ==> values
data/statsmodels-0.12.1/statsmodels/imputation/ros.py:459: everwhere ==> everywhere
data/statsmodels-0.12.1/statsmodels/imputation/ros.py:465: editted ==> edited
data/statsmodels-0.12.1/statsmodels/imputation/ros.py:507: substituion ==> substitution
data/statsmodels-0.12.1/statsmodels/imputation/ros.py:512: substituion ==> substitution
data/statsmodels-0.12.1/statsmodels/imputation/ros.py:556: editted ==> edited
data/statsmodels-0.12.1/statsmodels/imputation/ros.py:564: editted ==> edited
data/statsmodels-0.12.1/statsmodels/imputation/tests/test_mice.py:183: hist ==> heist, his
data/statsmodels-0.12.1/statsmodels/imputation/tests/test_mice.py:186: hist ==> heist, his
data/statsmodels-0.12.1/statsmodels/imputation/tests/test_mice.py:198: hist ==> heist, his
data/statsmodels-0.12.1/statsmodels/imputation/tests/test_ros.py:19: ND ==> AND, 2ND
data/statsmodels-0.12.1/statsmodels/imputation/tests/test_ros.py:19: ND ==> AND, 2ND
data/statsmodels-0.12.1/statsmodels/imputation/tests/test_ros.py:19: ND ==> AND, 2ND
data/statsmodels-0.12.1/statsmodels/imputation/tests/test_ros.py:20: ND ==> AND, 2ND
data/statsmodels-0.12.1/statsmodels/imputation/tests/test_ros.py:21: ND ==> AND, 2ND
data/statsmodels-0.12.1/statsmodels/imputation/tests/test_ros.py:21: ND ==> AND, 2ND
data/statsmodels-0.12.1/statsmodels/imputation/tests/test_ros.py:22: ND ==> AND, 2ND
data/statsmodels-0.12.1/statsmodels/iolib/foreign.py:621: wih ==> with
data/statsmodels-0.12.1/statsmodels/iolib/foreign.py:1109: preceed ==> precede, proceed
data/statsmodels-0.12.1/statsmodels/iolib/summary.py:65: Confidance ==> Confidence
data/statsmodels-0.12.1/statsmodels/iolib/summary.py:65: implimented ==> implemented
data/statsmodels-0.12.1/statsmodels/iolib/summary.py:67: Defualt ==> Default
data/statsmodels-0.12.1/statsmodels/iolib/summary.py:91: implimented ==> implemented
data/statsmodels-0.12.1/statsmodels/iolib/summary.py:95: implimented ==> implemented
data/statsmodels-0.12.1/statsmodels/iolib/summary.py:205: formating ==> formatting
data/statsmodels-0.12.1/statsmodels/iolib/summary.py:545: seperate ==> separate
data/statsmodels-0.12.1/statsmodels/iolib/summary.py:611: seperate ==> separate
data/statsmodels-0.12.1/statsmodels/iolib/table.py:29: initilization ==> initialization
data/statsmodels-0.12.1/statsmodels/iolib/table.py:49: Correspoding ==> Corresponding
data/statsmodels-0.12.1/statsmodels/iolib/table.py:53: lable ==> label
data/statsmodels-0.12.1/statsmodels/iolib/table.py:705: formating ==> formatting
data/statsmodels-0.12.1/statsmodels/iolib/tableformatting.py:2: formating ==> formatting
data/statsmodels-0.12.1/statsmodels/iolib/tableformatting.py:3: formating ==> formatting
data/statsmodels-0.12.1/statsmodels/iolib/tableformatting.py:26: formating ==> formatting
data/statsmodels-0.12.1/statsmodels/iolib/tableformatting.py:105: formating ==> formatting
data/statsmodels-0.12.1/statsmodels/iolib/tableformatting.py:106: formating ==> formatting
data/statsmodels-0.12.1/statsmodels/miscmodels/try_mlecov.py:22: differes ==> differs
data/statsmodels-0.12.1/statsmodels/multivariate/factor.py:692: standarized ==> standardized
data/statsmodels-0.12.1/statsmodels/multivariate/factor.py:710: standarized ==> standardized
data/statsmodels-0.12.1/statsmodels/multivariate/pca.py:712: ot ==> to, of, or
data/statsmodels-0.12.1/statsmodels/multivariate/pca.py:715: ot ==> to, of, or
data/statsmodels-0.12.1/statsmodels/multivariate/pca.py:771: ot ==> to, of, or
data/statsmodels-0.12.1/statsmodels/multivariate/factor_rotation/_gpa_rotation.py:46: defualt ==> default
data/statsmodels-0.12.1/statsmodels/multivariate/factor_rotation/_gpa_rotation.py:51: defualt ==> default
data/statsmodels-0.12.1/statsmodels/multivariate/factor_rotation/_gpa_rotation.py:185: wich ==> which
data/statsmodels-0.12.1/statsmodels/multivariate/factor_rotation/_gpa_rotation.py:268: wich ==> which
data/statsmodels-0.12.1/statsmodels/multivariate/factor_rotation/_gpa_rotation.py:333: wich ==> which
data/statsmodels-0.12.1/statsmodels/multivariate/tests/test_factor.py:69: unkonwn ==> unknown
data/statsmodels-0.12.1/statsmodels/nonparametric/kde.py:539: Kernal ==> Kernel
data/statsmodels-0.12.1/statsmodels/nonparametric/kernel_density.py:25: Hart ==> Heart, harm
data/statsmodels-0.12.1/statsmodels/nonparametric/kernel_regression.py:25: Hart ==> Heart, harm
data/statsmodels-0.12.1/statsmodels/nonparametric/tests/test_kernels.py:100: TOOD ==> TODO
data/statsmodels-0.12.1/statsmodels/regression/linear_model.py:1331: nd ==> and, 2nd
data/statsmodels-0.12.1/statsmodels/regression/linear_model.py:2432: explicitely ==> explicitly
data/statsmodels-0.12.1/statsmodels/regression/mixed_linear_model.py:180: programing ==> programming
data/statsmodels-0.12.1/statsmodels/regression/mixed_linear_model.py:2155: hist ==> heist, his
data/statsmodels-0.12.1/statsmodels/regression/mixed_linear_model.py:2157: hist ==> heist, his
data/statsmodels-0.12.1/statsmodels/regression/mixed_linear_model.py:2181: hist ==> heist, his
data/statsmodels-0.12.1/statsmodels/regression/mixed_linear_model.py:2210: hist ==> heist, his
data/statsmodels-0.12.1/statsmodels/regression/mixed_linear_model.py:2211: hist ==> heist, his
data/statsmodels-0.12.1/statsmodels/regression/mixed_linear_model.py:2274: hist ==> heist, his
data/statsmodels-0.12.1/statsmodels/regression/mixed_linear_model.py:2274: hist ==> heist, his
data/statsmodels-0.12.1/statsmodels/regression/mixed_linear_model.py:2941: compatability ==> compatibility
data/statsmodels-0.12.1/statsmodels/regression/process_regression.py:129: daa ==> data
data/statsmodels-0.12.1/statsmodels/regression/process_regression.py:130: daa ==> data
data/statsmodels-0.12.1/statsmodels/regression/recursive_ls.py:143: resursive ==> recursive, resourceful
data/statsmodels-0.12.1/statsmodels/regression/recursive_ls.py:434: numer ==> number
data/statsmodels-0.12.1/statsmodels/regression/recursive_ls.py:435: numer ==> number
data/statsmodels-0.12.1/statsmodels/regression/recursive_ls.py:436: numer ==> number
data/statsmodels-0.12.1/statsmodels/regression/tests/test_lme.py:18: nd ==> and, 2nd
data/statsmodels-0.12.1/statsmodels/regression/tests/test_lme.py:152: nd ==> and, 2nd
data/statsmodels-0.12.1/statsmodels/regression/tests/test_lme.py:168: nd ==> and, 2nd
data/statsmodels-0.12.1/statsmodels/regression/tests/test_lme.py:199: hist ==> heist, his
data/statsmodels-0.12.1/statsmodels/regression/tests/test_processreg.py:11: nd ==> and, 2nd
data/statsmodels-0.12.1/statsmodels/regression/tests/test_processreg.py:201: nd ==> and, 2nd
data/statsmodels-0.12.1/statsmodels/regression/tests/test_recursive_ls.py:87: constrcut ==> construct
data/statsmodels-0.12.1/statsmodels/regression/tests/test_regression.py:1368: numer ==> number
data/statsmodels-0.12.1/statsmodels/regression/tests/test_regression.py:1376: numer ==> number
data/statsmodels-0.12.1/statsmodels/regression/tests/test_theil.py:359: corrct ==> correct
data/statsmodels-0.12.1/statsmodels/regression/tests/results/test_rls.do:19: mata ==> meta, mater
data/statsmodels-0.12.1/statsmodels/regression/tests/results/test_rls.do:20: mata ==> meta, mater
data/statsmodels-0.12.1/statsmodels/sandbox/bspline.py:168: hald ==> held
data/statsmodels-0.12.1/statsmodels/sandbox/gam.py:11: degress ==> degrees, digress
data/statsmodels-0.12.1/statsmodels/sandbox/infotheo.py:67: superceded ==> superseded
data/statsmodels-0.12.1/statsmodels/sandbox/infotheo.py:238: distribtion ==> distribution
data/statsmodels-0.12.1/statsmodels/sandbox/infotheo.py:271: distribtion ==> distribution
data/statsmodels-0.12.1/statsmodels/sandbox/infotheo.py:277: corrent ==> correct, current
data/statsmodels-0.12.1/statsmodels/sandbox/infotheo.py:305: corrent ==> correct, current
data/statsmodels-0.12.1/statsmodels/sandbox/infotheo.py:310: distribtion ==> distribution
data/statsmodels-0.12.1/statsmodels/sandbox/infotheo.py:351: distribtion ==> distribution
data/statsmodels-0.12.1/statsmodels/sandbox/mlogitmath.lyx:90: flattend ==> flattened
data/statsmodels-0.12.1/statsmodels/sandbox/multilinear.py:23: exceding ==> exceeding
data/statsmodels-0.12.1/statsmodels/sandbox/multilinear.py:91: hierachical ==> hierarchical
data/statsmodels-0.12.1/statsmodels/sandbox/multilinear.py:131: trasformation ==> transformation
data/statsmodels-0.12.1/statsmodels/sandbox/multilinear.py:169: togheter ==> together
data/statsmodels-0.12.1/statsmodels/sandbox/multilinear.py:285: paramenters ==> parameters
data/statsmodels-0.12.1/statsmodels/sandbox/multilinear.py:285: whith ==> with
data/statsmodels-0.12.1/statsmodels/sandbox/pca.py:149: convertable ==> convertible
data/statsmodels-0.12.1/statsmodels/sandbox/pca.py:205: indecies ==> indices
data/statsmodels-0.12.1/statsmodels/sandbox/predict_functional.py:120: usng ==> using
data/statsmodels-0.12.1/statsmodels/sandbox/sysreg.py:326: suggetsion ==> suggestion
data/statsmodels-0.12.1/statsmodels/sandbox/archive/tsa.py:40: nd ==> and, 2nd
data/statsmodels-0.12.1/statsmodels/sandbox/datarich/__init__.py:10: varibles ==> variables
data/statsmodels-0.12.1/statsmodels/sandbox/distributions/__init__.py:9: managable ==> manageable, manageably
data/statsmodels-0.12.1/statsmodels/sandbox/distributions/estimators.py:333: definiton ==> definition
data/statsmodels-0.12.1/statsmodels/sandbox/distributions/estimators.py:354: funciton ==> function
data/statsmodels-0.12.1/statsmodels/sandbox/distributions/estimators.py:368: definiton ==> definition
data/statsmodels-0.12.1/statsmodels/sandbox/distributions/estimators.py:409: funciton ==> function
data/statsmodels-0.12.1/statsmodels/sandbox/distributions/extras.py:918: vaules ==> values
data/statsmodels-0.12.1/statsmodels/sandbox/distributions/mv_normal.py:297: saftey ==> safety
data/statsmodels-0.12.1/statsmodels/sandbox/distributions/mv_normal.py:982: nd ==> and, 2nd
data/statsmodels-0.12.1/statsmodels/sandbox/distributions/otherdist.py:95: continous ==> continuous
data/statsmodels-0.12.1/statsmodels/sandbox/distributions/otherdist.py:274: hist ==> heist, his
data/statsmodels-0.12.1/statsmodels/sandbox/distributions/otherdist.py:303: hist ==> heist, his
data/statsmodels-0.12.1/statsmodels/sandbox/distributions/examples/ex_transf2.py:5: Licese ==> License
data/statsmodels-0.12.1/statsmodels/sandbox/distributions/examples/ex_transf2.py:282: hist ==> heist, his
data/statsmodels-0.12.1/statsmodels/sandbox/distributions/examples/matchdist.py:28: hist ==> heist, his
data/statsmodels-0.12.1/statsmodels/sandbox/distributions/tests/distparams.py:108: reenabled ==> re-enabled
data/statsmodels-0.12.1/statsmodels/sandbox/distributions/tests/test_multivariate.py:100: ue ==> use, due
data/statsmodels-0.12.1/statsmodels/sandbox/examples/ex_mixed_lls_0.py:127: mape ==> map
data/statsmodels-0.12.1/statsmodels/sandbox/examples/ex_mixed_lls_0.py:134: mape ==> map
data/statsmodels-0.12.1/statsmodels/sandbox/examples/ex_mixed_lls_re.py:132: mape ==> map
data/statsmodels-0.12.1/statsmodels/sandbox/examples/ex_mixed_lls_re.py:139: mape ==> map
data/statsmodels-0.12.1/statsmodels/sandbox/examples/ex_mixed_lls_timecorr.py:181: mape ==> map
data/statsmodels-0.12.1/statsmodels/sandbox/examples/ex_mixed_lls_timecorr.py:188: mape ==> map
data/statsmodels-0.12.1/statsmodels/sandbox/examples/ex_random_panel.py:94: fixe ==> fixed, fixes, fix, fixme, fixer
data/statsmodels-0.12.1/statsmodels/sandbox/examples/example_crossval.py:51: hist ==> heist, his
data/statsmodels-0.12.1/statsmodels/sandbox/examples/example_maxent.py:44: tE ==> the, be, we
data/statsmodels-0.12.1/statsmodels/sandbox/examples/example_maxent.py:48: tE ==> the, be, we
data/statsmodels-0.12.1/statsmodels/sandbox/examples/example_nbin.py:37: alph ==> alpha
data/statsmodels-0.12.1/statsmodels/sandbox/examples/example_nbin.py:60: alph ==> alpha
data/statsmodels-0.12.1/statsmodels/sandbox/examples/example_nbin.py:66: alph ==> alpha
data/statsmodels-0.12.1/statsmodels/sandbox/examples/example_nbin.py:68: alph ==> alpha
data/statsmodels-0.12.1/statsmodels/sandbox/examples/example_nbin.py:72: alph ==> alpha
data/statsmodels-0.12.1/statsmodels/sandbox/examples/example_nbin.py:74: alph ==> alpha
data/statsmodels-0.12.1/statsmodels/sandbox/examples/example_nbin.py:80: alph ==> alpha
data/statsmodels-0.12.1/statsmodels/sandbox/examples/example_nbin.py:84: alph ==> alpha
data/statsmodels-0.12.1/statsmodels/sandbox/examples/example_nbin.py:96: alph ==> alpha
data/statsmodels-0.12.1/statsmodels/sandbox/examples/example_nbin.py:158: alph ==> alpha
data/statsmodels-0.12.1/statsmodels/sandbox/examples/example_nbin.py:163: alph ==> alpha
data/statsmodels-0.12.1/statsmodels/sandbox/examples/example_nbin.py:166: alph ==> alpha
data/statsmodels-0.12.1/statsmodels/sandbox/examples/example_nbin.py:168: alph ==> alpha
data/statsmodels-0.12.1/statsmodels/sandbox/examples/example_nbin.py:371: alph ==> alpha
data/statsmodels-0.12.1/statsmodels/sandbox/examples/try_multiols.py:32: whith ==> with
data/statsmodels-0.12.1/statsmodels/sandbox/examples/thirdparty/ex_ratereturn.py:37: hist ==> heist, his
data/statsmodels-0.12.1/statsmodels/sandbox/nonparametric/densityorthopoly.py:316: intervalls ==> intervals
data/statsmodels-0.12.1/statsmodels/sandbox/nonparametric/densityorthopoly.py:463: hist ==> heist, his
data/statsmodels-0.12.1/statsmodels/sandbox/nonparametric/densityorthopoly.py:491: hist ==> heist, his
data/statsmodels-0.12.1/statsmodels/sandbox/nonparametric/densityorthopoly.py:512: hist ==> heist, his
data/statsmodels-0.12.1/statsmodels/sandbox/nonparametric/densityorthopoly.py:537: hist ==> heist, his
data/statsmodels-0.12.1/statsmodels/sandbox/nonparametric/kde2.py:22: Nd ==> And, 2nd
data/statsmodels-0.12.1/statsmodels/sandbox/nonparametric/kdecovclass.py:56: histgram ==> histogram
data/statsmodels-0.12.1/statsmodels/sandbox/nonparametric/kdecovclass.py:57: hist ==> heist, his
data/statsmodels-0.12.1/statsmodels/sandbox/nonparametric/kdecovclass.py:85: intervall ==> interval
data/statsmodels-0.12.1/statsmodels/sandbox/nonparametric/kdecovclass.py:86: intervall ==> interval
data/statsmodels-0.12.1/statsmodels/sandbox/nonparametric/kdecovclass.py:100: intervall ==> interval
data/statsmodels-0.12.1/statsmodels/sandbox/nonparametric/kdecovclass.py:102: intervall ==> interval
data/statsmodels-0.12.1/statsmodels/sandbox/nonparametric/kdecovclass.py:104: intervall ==> interval
data/statsmodels-0.12.1/statsmodels/sandbox/nonparametric/kdecovclass.py:126: histgram ==> histogram
data/statsmodels-0.12.1/statsmodels/sandbox/nonparametric/kdecovclass.py:127: hist ==> heist, his
data/statsmodels-0.12.1/statsmodels/sandbox/nonparametric/kdecovclass.py:140: histgram ==> histogram
data/statsmodels-0.12.1/statsmodels/sandbox/nonparametric/kdecovclass.py:141: hist ==> heist, his
data/statsmodels-0.12.1/statsmodels/sandbox/nonparametric/kernel_extras.py:25: Hart ==> Heart, harm
data/statsmodels-0.12.1/statsmodels/sandbox/nonparametric/kernels.py:40: indepent ==> independent
data/statsmodels-0.12.1/statsmodels/sandbox/nonparametric/kernels.py:45: prefered ==> preferred
data/statsmodels-0.12.1/statsmodels/sandbox/nonparametric/kernels.py:323: kernal ==> kernel
data/statsmodels-0.12.1/statsmodels/sandbox/panel/mixed.py:35: Stram ==> Steam, stream, tram
data/statsmodels-0.12.1/statsmodels/sandbox/panel/mixed.py:70: Stram ==> Steam, stream, tram
data/statsmodels-0.12.1/statsmodels/sandbox/panel/mixed.py:77: Stram ==> Steam, stream, tram
data/statsmodels-0.12.1/statsmodels/sandbox/panel/mixed.py:83: Stram ==> Steam, stream, tram
data/statsmodels-0.12.1/statsmodels/sandbox/panel/mixed.py:93: Stram ==> Steam, stream, tram
data/statsmodels-0.12.1/statsmodels/sandbox/panel/mixed.py:99: Stram ==> Steam, stream, tram
data/statsmodels-0.12.1/statsmodels/sandbox/panel/mixed.py:108: Stram ==> Steam, stream, tram
data/statsmodels-0.12.1/statsmodels/sandbox/panel/mixed.py:133: Stram ==> Steam, stream, tram
data/statsmodels-0.12.1/statsmodels/sandbox/panel/mixed.py:184: Stram ==> Steam, stream, tram
data/statsmodels-0.12.1/statsmodels/sandbox/panel/mixed.py:274: Stram ==> Steam, stream, tram
data/statsmodels-0.12.1/statsmodels/sandbox/panel/mixed.py:291: Stram ==> Steam, stream, tram
data/statsmodels-0.12.1/statsmodels/sandbox/panel/mixed.py:315: Stram ==> Steam, stream, tram
data/statsmodels-0.12.1/statsmodels/sandbox/panel/mixed.py:335: Stram ==> Steam, stream, tram
data/statsmodels-0.12.1/statsmodels/sandbox/panel/mixed.py:533: hist ==> heist, his
data/statsmodels-0.12.1/statsmodels/sandbox/panel/mixed.py:577: hist ==> heist, his
data/statsmodels-0.12.1/statsmodels/sandbox/panel/panel_short.py:157: explicity ==> explicitly
data/statsmodels-0.12.1/statsmodels/sandbox/panel/tests/test_random_panel.py:129: fixe ==> fixed, fixes, fix, fixme, fixer
data/statsmodels-0.12.1/statsmodels/sandbox/regression/gmm.py:1269: weigths ==> weights
data/statsmodels-0.12.1/statsmodels/sandbox/regression/gmm.py:1492: coud ==> could
data/statsmodels-0.12.1/statsmodels/sandbox/regression/gmm.py:1571: ther ==> there, their, the, other
data/statsmodels-0.12.1/statsmodels/sandbox/regression/gmm.py:1589: coud ==> could
data/statsmodels-0.12.1/statsmodels/sandbox/regression/kernridgeregress_class.py:104: ouput ==> output
data/statsmodels-0.12.1/statsmodels/sandbox/regression/notes_runmnl.txt:12: acces ==> access
data/statsmodels-0.12.1/statsmodels/sandbox/regression/notes_runmnl.txt:21: probabilites ==> probabilities
data/statsmodels-0.12.1/statsmodels/sandbox/regression/tools.py:267: fuction ==> function
data/statsmodels-0.12.1/statsmodels/sandbox/regression/treewalkerclass.py:116: probabilites ==> probabilities
data/statsmodels-0.12.1/statsmodels/sandbox/regression/treewalkerclass.py:308: probabilites ==> probabilities
data/statsmodels-0.12.1/statsmodels/sandbox/regression/try_catdata.py:51: lable ==> label
data/statsmodels-0.12.1/statsmodels/sandbox/regression/try_catdata.py:88: nd ==> and, 2nd
data/statsmodels-0.12.1/statsmodels/sandbox/stats/__init__.py:9: managable ==> manageable, manageably
data/statsmodels-0.12.1/statsmodels/sandbox/stats/multicomp.py:884: statments ==> statements
data/statsmodels-0.12.1/statsmodels/sandbox/stats/multicomp.py:1267: homogenous ==> homogeneous
data/statsmodels-0.12.1/statsmodels/sandbox/stats/multicomp.py:1271: homogenous ==> homogeneous
data/statsmodels-0.12.1/statsmodels/sandbox/stats/multicomp.py:1400: homogenous ==> homogeneous
data/statsmodels-0.12.1/statsmodels/sandbox/stats/multicomp.py:1404: homogenous ==> homogeneous
data/statsmodels-0.12.1/statsmodels/sandbox/stats/notes_fdr.txt:51: intervalls ==> intervals
data/statsmodels-0.12.1/statsmodels/sandbox/stats/notes_fdr.txt:128: parm ==> param, pram, parma
data/statsmodels-0.12.1/statsmodels/sandbox/stats/notes_fdr.txt:128: parm ==> param, pram, parma
data/statsmodels-0.12.1/statsmodels/sandbox/stats/stats_mstats_short.py:19: nd ==> and, 2nd
data/statsmodels-0.12.1/statsmodels/sandbox/stats/stats_mstats_short.py:263: nd ==> and, 2nd
data/statsmodels-0.12.1/statsmodels/sandbox/tools/TODO.txt:5: nd ==> and, 2nd
data/statsmodels-0.12.1/statsmodels/sandbox/tools/cross_val.py:303: returnd ==> returned
data/statsmodels-0.12.1/statsmodels/sandbox/tools/mctools.py:305: hist ==> heist, his
data/statsmodels-0.12.1/statsmodels/sandbox/tools/mctools.py:337: hist ==> heist, his
data/statsmodels-0.12.1/statsmodels/sandbox/tsa/example_arma.py:69: explicitely ==> explicitly
data/statsmodels-0.12.1/statsmodels/sandbox/tsa/movstat.py:18: nd ==> and, 2nd
data/statsmodels-0.12.1/statsmodels/sandbox/tsa/movstat.py:52: nD ==> and, 2nd
data/statsmodels-0.12.1/statsmodels/sandbox/tsa/try_var_convolve.py:126: swiching ==> switching
data/statsmodels-0.12.1/statsmodels/stats/_diagnostic_other.py:16: intented ==> intended, indented
data/statsmodels-0.12.1/statsmodels/stats/_diagnostic_other.py:27: intitial ==> initial
data/statsmodels-0.12.1/statsmodels/stats/_knockoff.py:112: numer ==> number
data/statsmodels-0.12.1/statsmodels/stats/_knockoff.py:113: numer ==> number
data/statsmodels-0.12.1/statsmodels/stats/_knockoff.py:116: numer ==> number
data/statsmodels-0.12.1/statsmodels/stats/_knockoff.py:119: numer ==> number
data/statsmodels-0.12.1/statsmodels/stats/_knockoff.py:214: ony ==> only
data/statsmodels-0.12.1/statsmodels/stats/anova.py:182: varaibles ==> variables
data/statsmodels-0.12.1/statsmodels/stats/contrast.py:722: correspondig ==> corresponding
data/statsmodels-0.12.1/statsmodels/stats/contrast.py:775: correspondig ==> corresponding
data/statsmodels-0.12.1/statsmodels/stats/correlation_tools.py:791: COO ==> COUP
data/statsmodels-0.12.1/statsmodels/stats/correlation_tools.py:809: COO ==> COUP
data/statsmodels-0.12.1/statsmodels/stats/descriptivestats.py:417: ser ==> set
data/statsmodels-0.12.1/statsmodels/stats/descriptivestats.py:418: ser ==> set
data/statsmodels-0.12.1/statsmodels/stats/descriptivestats.py:787: Specifiy ==> Specify
data/statsmodels-0.12.1/statsmodels/stats/descriptivestats.py:894: formating ==> formatting
data/statsmodels-0.12.1/statsmodels/stats/descriptivestats.py:894: defualt ==> default
data/statsmodels-0.12.1/statsmodels/stats/descriptivestats.py:919: formating ==> formatting
data/statsmodels-0.12.1/statsmodels/stats/descriptivestats.py:919: fuction ==> function
data/statsmodels-0.12.1/statsmodels/stats/diagnostic.py:1643: intialize ==> initialize
data/statsmodels-0.12.1/statsmodels/stats/gof.py:213: intervalls ==> intervals
data/statsmodels-0.12.1/statsmodels/stats/gof.py:299: intervalls ==> intervals
data/statsmodels-0.12.1/statsmodels/stats/mediation.py:225: Retun ==> Return
data/statsmodels-0.12.1/statsmodels/stats/mediation.py:305: te ==> the, be, we
data/statsmodels-0.12.1/statsmodels/stats/mediation.py:307: te ==> the, be, we
data/statsmodels-0.12.1/statsmodels/stats/mediation.py:318: te ==> the, be, we
data/statsmodels-0.12.1/statsmodels/stats/mediation.py:319: te ==> the, be, we
data/statsmodels-0.12.1/statsmodels/stats/mediation.py:322: te ==> the, be, we
data/statsmodels-0.12.1/statsmodels/stats/multivariate_tools.py:61: beween ==> between
data/statsmodels-0.12.1/statsmodels/stats/multivariate_tools.py:84: canoncial ==> canonical
data/statsmodels-0.12.1/statsmodels/stats/multivariate_tools.py:143: tha ==> than, that, the
data/statsmodels-0.12.1/statsmodels/stats/outliers_influence.py:265: indes ==> index
data/statsmodels-0.12.1/statsmodels/stats/outliers_influence.py:1043: nd ==> and, 2nd
data/statsmodels-0.12.1/statsmodels/stats/outliers_influence.py:1126: nD ==> and, 2nd
data/statsmodels-0.12.1/statsmodels/stats/power.py:1187: explicitely ==> explicitly
data/statsmodels-0.12.1/statsmodels/stats/power.py:1238: explicitely ==> explicitly
data/statsmodels-0.12.1/statsmodels/stats/proportion.py:195: kown ==> known
data/statsmodels-0.12.1/statsmodels/stats/libqsturng/make_tbls.py:22: orginal ==> original
data/statsmodels-0.12.1/statsmodels/stats/libqsturng/qsturng_.py:720: interpolaiton ==> interpolation
data/statsmodels-0.12.1/statsmodels/stats/libqsturng/qsturng_.py:871: appoximations ==> approximations
data/statsmodels-0.12.1/statsmodels/stats/tests/test_contingency_tables.py:387: strat ==> start, strata
data/statsmodels-0.12.1/statsmodels/stats/tests/test_contingency_tables.py:390: strat ==> start, strata
data/statsmodels-0.12.1/statsmodels/stats/tests/test_contingency_tables.py:398: strat ==> start, strata
data/statsmodels-0.12.1/statsmodels/stats/tests/test_groups_sw.py:26: alle ==> all, alley
data/statsmodels-0.12.1/statsmodels/stats/tests/test_groups_sw.py:45: alle ==> all, alley
data/statsmodels-0.12.1/statsmodels/stats/tests/test_groups_sw.py:67: alle ==> all, alley
data/statsmodels-0.12.1/statsmodels/stats/tests/test_meta.py:133: TE ==> THE, BE, WE
data/statsmodels-0.12.1/statsmodels/stats/tests/test_meta.py:311: TE ==> THE, BE, WE
data/statsmodels-0.12.1/statsmodels/stats/tests/test_weightstats.py:368: nd ==> and, 2nd
data/statsmodels-0.12.1/statsmodels/stats/tests/results/binary_constrict.csv:1: volumne ==> volume
data/statsmodels-0.12.1/statsmodels/stats/tests/results/results_meta.py:41: parms ==> params, prams
data/statsmodels-0.12.1/statsmodels/stats/tests/results/results_meta.py:125: parms ==> params, prams
data/statsmodels-0.12.1/statsmodels/stats/tests/results/results_meta.py:156: parms ==> params, prams
data/statsmodels-0.12.1/statsmodels/stats/tests/results/results_meta.py:186: parms ==> params, prams
data/statsmodels-0.12.1/statsmodels/stats/tests/results/results_meta.py:220: parms ==> params, prams
data/statsmodels-0.12.1/statsmodels/stats/tests/results/results_meta.py:353: TE ==> THE, BE, WE
data/statsmodels-0.12.1/statsmodels/tools/rootfinding.py:48: wether ==> weather, whether
data/statsmodels-0.12.1/statsmodels/tools/rootfinding.py:196: boths ==> both
data/statsmodels-0.12.1/statsmodels/tools/sm_exceptions.py:9: sting ==> string
data/statsmodels-0.12.1/statsmodels/tools/tools.py:236: varaibles ==> variables
data/statsmodels-0.12.1/statsmodels/tools/tools.py:600: agument ==> argument
data/statsmodels-0.12.1/statsmodels/tools/tools.py:613: necesary ==> necessary
data/statsmodels-0.12.1/statsmodels/tools/sequences.py:166: parametr ==> parameter
data/statsmodels-0.12.1/statsmodels/tools/tests/test_tools.py:275: dum ==> dumb
data/statsmodels-0.12.1/statsmodels/tools/tests/test_tools.py:276: dum ==> dumb
data/statsmodels-0.12.1/statsmodels/tools/tests/test_tools.py:276: dum ==> dumb
data/statsmodels-0.12.1/statsmodels/tools/tests/test_tools.py:278: dum ==> dumb
data/statsmodels-0.12.1/statsmodels/tools/tests/test_tools.py:283: dum ==> dumb
data/statsmodels-0.12.1/statsmodels/tools/tests/test_tools.py:284: dum ==> dumb
data/statsmodels-0.12.1/statsmodels/tools/tests/test_tools.py:284: dum ==> dumb
data/statsmodels-0.12.1/statsmodels/tools/tests/test_tools.py:286: dum ==> dumb
data/statsmodels-0.12.1/statsmodels/tools/tests/test_tools.py:312: dum ==> dumb
data/statsmodels-0.12.1/statsmodels/tools/tests/test_tools.py:313: dum ==> dumb
data/statsmodels-0.12.1/statsmodels/tools/tests/test_tools.py:313: dum ==> dumb
data/statsmodels-0.12.1/statsmodels/tools/tests/test_tools.py:315: dum ==> dumb
data/statsmodels-0.12.1/statsmodels/tools/tests/test_tools.py:327: dum ==> dumb
data/statsmodels-0.12.1/statsmodels/tools/tests/test_tools.py:328: dum ==> dumb
data/statsmodels-0.12.1/statsmodels/tools/tests/test_tools.py:328: dum ==> dumb
data/statsmodels-0.12.1/statsmodels/tools/tests/test_tools.py:330: dum ==> dumb
data/statsmodels-0.12.1/statsmodels/tools/tests/test_tools.py:342: dum ==> dumb
data/statsmodels-0.12.1/statsmodels/tools/tests/test_tools.py:343: dum ==> dumb
data/statsmodels-0.12.1/statsmodels/tools/tests/test_tools.py:345: dum ==> dumb
data/statsmodels-0.12.1/statsmodels/tools/tests/test_tools.py:357: dum ==> dumb
data/statsmodels-0.12.1/statsmodels/tools/tests/test_tools.py:358: dum ==> dumb
data/statsmodels-0.12.1/statsmodels/tools/tests/test_tools.py:359: dum ==> dumb
data/statsmodels-0.12.1/statsmodels/tools/tests/test_tools.py:407: dum ==> dumb
data/statsmodels-0.12.1/statsmodels/tools/tests/test_tools.py:408: dum ==> dumb
data/statsmodels-0.12.1/statsmodels/tools/tests/test_tools.py:408: dum ==> dumb
data/statsmodels-0.12.1/statsmodels/tools/tests/test_tools.py:410: dum ==> dumb
data/statsmodels-0.12.1/statsmodels/tools/tests/test_tools.py:415: dum ==> dumb
data/statsmodels-0.12.1/statsmodels/tools/tests/test_tools.py:416: dum ==> dumb
data/statsmodels-0.12.1/statsmodels/tools/tests/test_tools.py:416: dum ==> dumb
data/statsmodels-0.12.1/statsmodels/tools/tests/test_tools.py:418: dum ==> dumb
data/statsmodels-0.12.1/statsmodels/tools/tests/test_tools.py:444: dum ==> dumb
data/statsmodels-0.12.1/statsmodels/tools/tests/test_tools.py:445: dum ==> dumb
data/statsmodels-0.12.1/statsmodels/tools/tests/test_tools.py:445: dum ==> dumb
data/statsmodels-0.12.1/statsmodels/tools/tests/test_tools.py:447: dum ==> dumb
data/statsmodels-0.12.1/statsmodels/tools/tests/test_tools.py:459: dum ==> dumb
data/statsmodels-0.12.1/statsmodels/tools/tests/test_tools.py:460: dum ==> dumb
data/statsmodels-0.12.1/statsmodels/tools/tests/test_tools.py:460: dum ==> dumb
data/statsmodels-0.12.1/statsmodels/tools/tests/test_tools.py:462: dum ==> dumb
data/statsmodels-0.12.1/statsmodels/tools/validation/validation.py:62: numebr ==> number
data/statsmodels-0.12.1/statsmodels/tsa/ar_model.py:1499: compatability ==> compatibility
data/statsmodels-0.12.1/statsmodels/tsa/ar_model.py:1538: defintion ==> definition
data/statsmodels-0.12.1/statsmodels/tsa/ar_model.py:1842: compatability ==> compatibility
data/statsmodels-0.12.1/statsmodels/tsa/ar_model.py:1868: defintion ==> definition
data/statsmodels-0.12.1/statsmodels/tsa/ar_model.py:2428: hist ==> heist, his
data/statsmodels-0.12.1/statsmodels/tsa/ar_model.py:2428: Hist ==> Heist, his
data/statsmodels-0.12.1/statsmodels/tsa/ar_model.py:2430: hist ==> heist, his
data/statsmodels-0.12.1/statsmodels/tsa/ar_model.py:2430: Hist ==> Heist, his
data/statsmodels-0.12.1/statsmodels/tsa/arima_process.py:95: nd ==> and, 2nd
data/statsmodels-0.12.1/statsmodels/tsa/arma_mle.py:26: efficent ==> efficient
data/statsmodels-0.12.1/statsmodels/tsa/arma_mle.py:237: doesnt ==> doesn't, does not
data/statsmodels-0.12.1/statsmodels/tsa/deterministic.py:222: determinstic ==> deterministic
data/statsmodels-0.12.1/statsmodels/tsa/deterministic.py:876: determinstic ==> deterministic
data/statsmodels-0.12.1/statsmodels/tsa/deterministic.py:1097: determinstic ==> deterministic
data/statsmodels-0.12.1/statsmodels/tsa/varma_process.py:120: swiching ==> switching
data/statsmodels-0.12.1/statsmodels/tsa/arima/specification.py:570: presense ==> presence
data/statsmodels-0.12.1/statsmodels/tsa/arima/specification.py:626: presense ==> presence
data/statsmodels-0.12.1/statsmodels/tsa/base/tsa_model.py:165: Attemtping ==> Attempting
data/statsmodels-0.12.1/statsmodels/tsa/base/tsa_model.py:520: frequncy ==> frequency
data/statsmodels-0.12.1/statsmodels/tsa/base/tests/test_tsa_indexes.py:115: inferrable ==> inferable
data/statsmodels-0.12.1/statsmodels/tsa/base/tests/test_tsa_indexes.py:374: inferrable ==> inferable
data/statsmodels-0.12.1/statsmodels/tsa/base/tests/test_tsa_indexes.py:429: inferrable ==> inferable
data/statsmodels-0.12.1/statsmodels/tsa/filters/filtertools.py:290: swiching ==> switching
data/statsmodels-0.12.1/statsmodels/tsa/filters/tests/test_filters.py:343: mata ==> meta, mater
data/statsmodels-0.12.1/statsmodels/tsa/kalmanf/kalman_loglike.pyx:86: alph ==> alpha
data/statsmodels-0.12.1/statsmodels/tsa/kalmanf/kalman_loglike.pyx:108: alph ==> alpha
data/statsmodels-0.12.1/statsmodels/tsa/kalmanf/kalman_loglike.pyx:120: alph ==> alpha
data/statsmodels-0.12.1/statsmodels/tsa/kalmanf/kalman_loglike.pyx:131: alph ==> alpha
data/statsmodels-0.12.1/statsmodels/tsa/kalmanf/kalman_loglike.pyx:144: alph ==> alpha
data/statsmodels-0.12.1/statsmodels/tsa/kalmanf/kalman_loglike.pyx:147: alph ==> alpha
data/statsmodels-0.12.1/statsmodels/tsa/kalmanf/kalman_loglike.pyx:150: alph ==> alpha
data/statsmodels-0.12.1/statsmodels/tsa/kalmanf/kalman_loglike.pyx:151: alph ==> alpha
data/statsmodels-0.12.1/statsmodels/tsa/kalmanf/kalman_loglike.pyx:165: alph ==> alpha
data/statsmodels-0.12.1/statsmodels/tsa/kalmanf/kalman_loglike.pyx:234: alph ==> alpha
data/statsmodels-0.12.1/statsmodels/tsa/kalmanf/kalman_loglike.pyx:254: alph ==> alpha
data/statsmodels-0.12.1/statsmodels/tsa/kalmanf/kalman_loglike.pyx:266: alph ==> alpha
data/statsmodels-0.12.1/statsmodels/tsa/kalmanf/kalman_loglike.pyx:277: alph ==> alpha
data/statsmodels-0.12.1/statsmodels/tsa/kalmanf/kalman_loglike.pyx:290: alph ==> alpha
data/statsmodels-0.12.1/statsmodels/tsa/kalmanf/kalman_loglike.pyx:293: alph ==> alpha
data/statsmodels-0.12.1/statsmodels/tsa/kalmanf/kalman_loglike.pyx:296: alph ==> alpha
data/statsmodels-0.12.1/statsmodels/tsa/kalmanf/kalman_loglike.pyx:297: alph ==> alpha
data/statsmodels-0.12.1/statsmodels/tsa/kalmanf/kalman_loglike.pyx:312: alph ==> alpha
data/statsmodels-0.12.1/statsmodels/tsa/regime_switching/markov_switching.py:1267: probabilites ==> probabilities
data/statsmodels-0.12.1/statsmodels/tsa/regime_switching/tests/test_markov_regression.py:956: correponds ==> corresponds
data/statsmodels-0.12.1/statsmodels/tsa/regime_switching/tests/test_markov_regression.py:987: correponds ==> corresponds
data/statsmodels-0.12.1/statsmodels/tsa/statespace/_initialization.pyx.in:199: colummns ==> columns
data/statsmodels-0.12.1/statsmodels/tsa/statespace/_initialization.pyx.in:235: colummns ==> columns
data/statsmodels-0.12.1/statsmodels/tsa/statespace/_initialization.pyx.in:246: colummns ==> columns
data/statsmodels-0.12.1/statsmodels/tsa/statespace/_kalman_smoother.pyx.in:116: peform ==> perform
data/statsmodels-0.12.1/statsmodels/tsa/statespace/_simulation_smoother.pyx.in:515: measurment ==> measurement
data/statsmodels-0.12.1/statsmodels/tsa/statespace/dynamic_factor_mq.py:301: appliable ==> applicable
data/statsmodels-0.12.1/statsmodels/tsa/statespace/mlemodel.py:4308: hist ==> heist, his
data/statsmodels-0.12.1/statsmodels/tsa/statespace/mlemodel.py:4310: hist ==> heist, his
data/statsmodels-0.12.1/statsmodels/tsa/statespace/sarimax.py:468: sensistive ==> sensitive
data/statsmodels-0.12.1/statsmodels/tsa/statespace/simulation_smoother.py:184: intial ==> initial
data/statsmodels-0.12.1/statsmodels/tsa/statespace/simulation_smoother.py:324: genereate ==> generate
data/statsmodels-0.12.1/statsmodels/tsa/statespace/simulation_smoother.py:327: genereate ==> generate
data/statsmodels-0.12.1/statsmodels/tsa/statespace/tools.py:1485: explicity ==> explicitly
data/statsmodels-0.12.1/statsmodels/tsa/statespace/tools.py:1532: explicity ==> explicitly
data/statsmodels-0.12.1/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py:1813: applyed ==> applied
data/statsmodels-0.12.1/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py:1964: applyed ==> applied
data/statsmodels-0.12.1/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py:35: fitler ==> filter
data/statsmodels-0.12.1/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py:726: inital ==> initial
data/statsmodels-0.12.1/statsmodels/tsa/statespace/tests/test_sarimax.py:1035: expections ==> exceptions
data/statsmodels-0.12.1/statsmodels/tsa/statespace/tests/test_sarimax.py:1798: expections ==> exceptions
data/statsmodels-0.12.1/statsmodels/tsa/statespace/tests/test_sarimax.py:1849: expections ==> exceptions
data/statsmodels-0.12.1/statsmodels/tsa/statespace/tests/test_varmax.py:329: measurment ==> measurement
data/statsmodels-0.12.1/statsmodels/tsa/statespace/tests/test_varmax.py:698: meaninful ==> meaningful
data/statsmodels-0.12.1/statsmodels/tsa/statespace/tests/test_varmax.py:797: meaninful ==> meaningful
data/statsmodels-0.12.1/statsmodels/tsa/statespace/tests/test_dynamic_factor.py:201: coverge ==> coverage
data/statsmodels-0.12.1/statsmodels/tsa/statespace/tests/test_dynamic_factor.py:207: coverge ==> coverage
data/statsmodels-0.12.1/statsmodels/tsa/statespace/tests/results/cfa_tvpvar_test.m:43: thigns ==> things
data/statsmodels-0.12.1/statsmodels/tsa/statespace/tests/results/test_clark1989_r.R:64: ans ==> and
data/statsmodels-0.12.1/statsmodels/tsa/statespace/tests/results/test_clark1989_r.R:82: ans ==> and
data/statsmodels-0.12.1/statsmodels/tsa/statespace/tests/results/test_clark1989_r.R:83: ans ==> and
data/statsmodels-0.12.1/statsmodels/tsa/statespace/tests/results/test_realgdpar_r.R:43: ans ==> and
data/statsmodels-0.12.1/statsmodels/tsa/statespace/tests/results/test_realgdpar_r.R:47: ans ==> and
data/statsmodels-0.12.1/statsmodels/tsa/statespace/tests/results/test_realgdpar_r.R:50: ans ==> and
data/statsmodels-0.12.1/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/functions/dfm.m:458: indicies ==> indices
data/statsmodels-0.12.1/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/functions/dfm.m:571: lik ==> like, lick, link
data/statsmodels-0.12.1/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/functions/dfm.m:580: threshhold ==> threshold
data/statsmodels-0.12.1/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/functions/dfm.m:589: Threshhold ==> Threshold
data/statsmodels-0.12.1/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/functions/dfm.m:623: intial ==> initial
data/statsmodels-0.12.1/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/functions/dfm.m:680: indicies ==> indices
data/statsmodels-0.12.1/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/functions/dfm.m:681: indicies ==> indices
data/statsmodels-0.12.1/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/functions/dfm.m:774: Indicies ==> Indices
data/statsmodels-0.12.1/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/functions/update_nowcast.m:192: indicies ==> indices
data/statsmodels-0.12.1/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/functions/update_nowcast.m:348: struc ==> struct
data/statsmodels-0.12.1/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/functions/update_nowcast.m:356: paramaters ==> parameters
data/statsmodels-0.12.1/statsmodels/tsa/tests/test_ar.py:208: compatability ==> compatibility
data/statsmodels-0.12.1/statsmodels/tsa/tests/test_ar.py:1348: spred ==> spread
data/statsmodels-0.12.1/statsmodels/tsa/tests/test_ar.py:1350: spred ==> spread
data/statsmodels-0.12.1/statsmodels/tsa/tests/test_ar.py:1352: spred ==> spread
data/statsmodels-0.12.1/statsmodels/tsa/tests/test_ar.py:1354: spred ==> spread
data/statsmodels-0.12.1/statsmodels/tsa/tests/test_ar.py:1356: spred ==> spread
data/statsmodels-0.12.1/statsmodels/tsa/tests/test_ar.py:1358: spred ==> spread
data/statsmodels-0.12.1/statsmodels/tsa/tests/test_arima.py:2217: ue ==> use, due
data/statsmodels-0.12.1/statsmodels/tsa/tests/test_arima.py:2230: ue ==> use, due
data/statsmodels-0.12.1/statsmodels/tsa/tests/test_arima.py:2230: ue ==> use, due
data/statsmodels-0.12.1/statsmodels/tsa/tests/test_arima.py:2231: ue ==> use, due
data/statsmodels-0.12.1/statsmodels/tsa/tests/test_arima.py:2237: ue ==> use, due
data/statsmodels-0.12.1/statsmodels/tsa/tests/test_exponential_smoothing.py:833: succesfull ==> successful
data/statsmodels-0.12.1/statsmodels/tsa/tests/test_exponential_smoothing.py:892: succesfull ==> successful
data/statsmodels-0.12.1/statsmodels/tsa/vector_ar/irf.py:107: funcions ==> functions
data/statsmodels-0.12.1/statsmodels/tsa/vector_ar/irf.py:193: funcions ==> functions
data/statsmodels-0.12.1/statsmodels/tsa/vector_ar/irf.py:348: Atleast ==> At least
data/statsmodels-0.12.1/statsmodels/tsa/vector_ar/irf.py:404: Atleast ==> At least
data/statsmodels-0.12.1/statsmodels/tsa/vector_ar/irf.py:477: Atleast ==> At least
data/statsmodels-0.12.1/statsmodels/tsa/vector_ar/util.py:237: intial ==> initial
data/statsmodels-0.12.1/statsmodels/tsa/vector_ar/vecm.py:507: greather ==> greater
data/statsmodels-0.12.1/statsmodels/tsa/vector_ar/vecm.py:1002: ECT ==> ETC
data/statsmodels-0.12.1/statsmodels/tsa/vector_ar/tests/test_var.py:109: nd ==> and, 2nd
data/statsmodels-0.12.1/statsmodels/tsa/vector_ar/tests/test_var.py:110: nd ==> and, 2nd
data/statsmodels-0.12.1/statsmodels/tsa/vector_ar/tests/test_var.py:110: nd ==> and, 2nd
data/statsmodels-0.12.1/statsmodels/tsa/vector_ar/tests/test_var.py:111: nd ==> and, 2nd
data/statsmodels-0.12.1/statsmodels/tsa/vector_ar/tests/JMulTi_results/parse_jmulti_var_output.py:146: parantheses ==> parentheses
data/statsmodels-0.12.1/statsmodels/tsa/vector_ar/tests/JMulTi_results/parse_jmulti_vecm_output.py:220: parantheses ==> parentheses
data/statsmodels-0.12.1/tools/estmat2nparray.ado:19: colum ==> column
data/statsmodels-0.12.1/tools/nbgenerate.py:59: defualts ==> defaults
data/statsmodels-0.12.1/tools/releasing/release_note.py:42: creater ==> creator
data/statsmodels-0.12.1/debian/changelog:570: explict ==> explicit
data/statsmodels-0.12.1/debian/changelog:574: neccessary ==> necessary
data/statsmodels-0.12.1/debian/changelog:740: reinitilized ==> reinitialized
data/statsmodels-0.12.1/debian/rules:124: useable ==> usable
data/statsmodels-0.12.1/debian/patches/remove_ccbysa_snippet.patch:81: enought ==> enough
data/statsmodels-0.12.1/debian/patches/spelling.patch:13: positve ==> positive
data/statsmodels-0.12.1/debian/patches/spelling.patch:16: positve ==> positive
data/statsmodels-0.12.1/debian/patches/spelling.patch:19: positve ==> positive
data/statsmodels-0.12.1/debian/patches/use-cached-datasets:35: fo ==> of, for
data/statsmodels-0.12.1/.pc/use-cached-datasets/docs/source/gee.rst:10: withing ==> within
data/statsmodels-0.12.1/.pc/use-cached-datasets/docs/source/gettingstarted.rst:24: heterogenous ==> heterogeneous
data/statsmodels-0.12.1/.pc/use-cached-datasets/docs/source/release/version0.6.rst:244: Linke ==> Linked
data/statsmodels-0.12.1/.pc/up_reduce_test_precision/statsmodels/emplike/tests/test_regression.py:13: ot ==> to, of, or
data/statsmodels-0.12.1/.pc/xfail_kalman_armhf.patch/statsmodels/tsa/statespace/tests/test_dynamic_factor.py:198: coverge ==> coverage
data/statsmodels-0.12.1/.pc/xfail_kalman_armhf.patch/statsmodels/tsa/statespace/tests/test_dynamic_factor.py:204: coverge ==> coverage
data/statsmodels-0.12.1/.pc/xfail_kalman_armhf.patch/statsmodels/tsa/statespace/tests/test_sarimax.py:1031: expections ==> exceptions
data/statsmodels-0.12.1/.pc/xfail_kalman_armhf.patch/statsmodels/tsa/statespace/tests/test_sarimax.py:1793: expections ==> exceptions
data/statsmodels-0.12.1/.pc/xfail_kalman_armhf.patch/statsmodels/tsa/statespace/tests/test_sarimax.py:1843: expections ==> exceptions
data/statsmodels-0.12.1/.pc/xfail_kalman_armhf.patch/statsmodels/tsa/statespace/tests/test_varmax.py:327: measurment ==> measurement
data/statsmodels-0.12.1/.pc/xfail_kalman_armhf.patch/statsmodels/tsa/statespace/tests/test_varmax.py:696: meaninful ==> meaningful
data/statsmodels-0.12.1/.pc/xfail_kalman_armhf.patch/statsmodels/tsa/statespace/tests/test_varmax.py:795: meaninful ==> meaningful
data/statsmodels-0.12.1/.pc/use_available_data.patch/examples/notebooks/generic_mle.ipynb:218: alph ==> alpha
data/statsmodels-0.12.1/.pc/use_available_data.patch/examples/notebooks/generic_mle.ipynb:220: alph ==> alpha
data/statsmodels-0.12.1/.pc/use_available_data.patch/examples/notebooks/generic_mle.ipynb:259: alph ==> alpha
data/statsmodels-0.12.1/.pc/use_available_data.patch/examples/notebooks/generic_mle.ipynb:261: alph ==> alpha
data/statsmodels-0.12.1/.pc/944054_flaky_tests.patch/statsmodels/base/tests/test_penalized.py:85: warnigns ==> warnings
data/statsmodels-0.12.1/.pc/944054_flaky_tests.patch/statsmodels/base/tests/test_penalized.py:85: becaus ==> because
data/statsmodels-0.12.1/.pc/spelling.patch/statsmodels/tsa/_stl.pyx:248: positve ==> positive
data/statsmodels-0.12.1/.pc/spelling.patch/statsmodels/tsa/_stl.pyx:250: positve ==> positive
data/statsmodels-0.12.1/.pc/spelling.patch/statsmodels/tsa/_stl.pyx:252: positve ==> positive
data/statsmodels-0.12.1/.pc/xfail_regimeswitching_armhf.patch/statsmodels/tsa/regime_switching/markov_switching.py:1262: probabilites ==> probabilities
data/statsmodels-0.12.1/.pc/xfail_regimeswitching_armhf.patch/statsmodels/tsa/regime_switching/tests/test_markov_regression.py:954: correponds ==> corresponds
data/statsmodels-0.12.1/.pc/xfail_regimeswitching_armhf.patch/statsmodels/tsa/regime_switching/tests/test_markov_regression.py:985: correponds ==> corresponds
data/statsmodels-0.12.1/.pc/xfail_dynamicfactor_ppc64el.patch/statsmodels/tsa/statespace/tests/test_dynamic_factor.py:200: coverge ==> coverage
data/statsmodels-0.12.1/.pc/xfail_dynamicfactor_ppc64el.patch/statsmodels/tsa/statespace/tests/test_dynamic_factor.py:206: coverge ==> coverage
data/statsmodels-0.12.1/.pc/remove_ccbysa_snippet.patch/statsmodels/examples/ex_generic_mle_tdist.py:826: hist ==> heist, his
data/statsmodels-0.12.1/.pc/remove_ccbysa_snippet.patch/statsmodels/tools/sequences.py:113: enought ==> enough
data/statsmodels-0.12.1/.pc/remove_ccbysa_snippet.patch/statsmodels/tools/sequences.py:167: parametr ==> parameter
data/statsmodels-0.12.1/.pc/968210_ignore_tests.patch/statsmodels/discrete/tests/test_count_model.py:329: Ser ==> Set